var bibbase_data = {"data":"<img src=\"//bibbase.org/img/ajax-loader.gif\" id=\"spinner\"\n  style=\"display: none;\" alt=\"Loading..\" />\n\n<div id=\"bibbase\">\n\n  <script type=\"text/javascript\">\n    var bibbase = {\n      params: {\"jsonp\":\"1\",\"host\":\"bibbase.org\"},\n      data: [{\"title\":\"Recovery or decline of the northwestern Black Sea: A societal choice revealed by socio-ecological modelling\",\"type\":\"article\",\"year\":\"2009\",\"keywords\":\"Bayesian belief network (BBN),Black Sea,DPSIR,Eutrophication,Marine socio-ecological systems\",\"pages\":\"2927-2939\",\"volume\":\"220\",\"websites\":\"http://www.sciencedirect.com/science/article/pii/S0304380008004420\",\"month\":\"11\",\"id\":\"c6af8d58-b5cc-38e3-8741-24cb7f1311d4\",\"created\":\"2015-04-12T19:14:39.000Z\",\"accessed\":\"2015-04-11\",\"file_attached\":false,\"profile_id\":\"95e10851-cdf3-31de-9f82-1ab629e601b0\",\"group_id\":\"5efe986e-978a-3009-a061-88cca2e117b0\",\"last_modified\":\"2017-03-14T14:39:39.366Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"During recent decades anthropogenic activities have dramatically impacted the Black Sea ecosystem. High levels of riverine nutrient input during the 1970s and 1980s caused eutrophic conditions including intense algal blooms resulting in hypoxia and the subsequent collapse of benthic habitats on the northwestern shelf. Intense fishing pressure also depleted stocks of many apex predators, contributing to an increase in planktivorous fish that are now the focus of fishing efforts. Additionally, the Black Sea's ecosystem changed even further with the introduction of exotic species. Economic collapse of the surrounding socialist republics in the early 1990s resulted in decreased nutrient loading which has allowed the Black Sea ecosystem to start to recover, but under rapidly changing economic and political conditions, future recovery is uncertain. In this study we use a multidisciplinary approach to integrate information from socio-economic and ecological systems to model the effects of future development scenarios on the marine environment of the northwestern Black Sea shelf. The Driver–Pressure–State-Impact-Response framework was used to construct conceptual models, explicitly mapping impacts of socio-economic Drivers on the marine ecosystem. Bayesian belief networks (BBNs), a stochastic modelling technique, were used to quantify these causal relationships, operationalise models and assess the effects of alternative development paths on the Black Sea ecosystem. BBNs use probabilistic dependencies as a common metric, allowing the integration of quantitative and qualitative information. Under the Baseline Scenario, recovery of the Black Sea appears tenuous as the exploitation of environmental resources (agriculture, fishing and shipping) increases with continued economic development of post-Soviet countries. This results in the loss of wetlands through drainage and reclamation. Water transparency decreases as phytoplankton bloom and this deterioration in water quality leads to the degradation of coastal plant communities (Cystoseira, seagrass) and also Phyllophora habitat on the shelf. Decomposition of benthic plants results in hypoxia killing flora and fauna associated with these habitats. Ecological pressure from these factors along with constant levels of fishing activity results in target stocks remaining depleted. Of the four Alternative Scenarios, two show improvements on the Baseline ecosystem condition, with improved waste water treatment and reduced fishing pressure, while the other two show a worsening, due to increased natural resource exploitation leading to rapid reversal of any recent ecosystem recovery. From this we conclude that variations in economic policy have significant consequences for the health of the Black Sea, and ecosystem recovery is directly linked to social–economic choices.\",\"bibtype\":\"article\",\"author\":\"Langmead, Olivia and McQuatters-Gollop, Abigail and Mee, Laurence D. and Friedrich, Jana and Gilbert, Alison J. and Gomoiu, Marian-Traian and Jackson, Emma L. and Knudsen, Ståle and Minicheva, Galina and Todorova, Valentina\",\"doi\":\"10.1016/j.ecolmodel.2008.09.011\",\"journal\":\"Ecological Modelling\",\"number\":\"21\",\"bibtex\":\"@article{\\n title = {Recovery or decline of the northwestern Black Sea: A societal choice revealed by socio-ecological modelling},\\n type = {article},\\n year = {2009},\\n keywords = {Bayesian belief network (BBN),Black Sea,DPSIR,Eutrophication,Marine socio-ecological systems},\\n pages = {2927-2939},\\n volume = {220},\\n websites = {http://www.sciencedirect.com/science/article/pii/S0304380008004420},\\n month = {11},\\n id = {c6af8d58-b5cc-38e3-8741-24cb7f1311d4},\\n created = {2015-04-12T19:14:39.000Z},\\n accessed = {2015-04-11},\\n file_attached = {false},\\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\\n last_modified = {2017-03-14T14:39:39.366Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {During recent decades anthropogenic activities have dramatically impacted the Black Sea ecosystem. High levels of riverine nutrient input during the 1970s and 1980s caused eutrophic conditions including intense algal blooms resulting in hypoxia and the subsequent collapse of benthic habitats on the northwestern shelf. Intense fishing pressure also depleted stocks of many apex predators, contributing to an increase in planktivorous fish that are now the focus of fishing efforts. Additionally, the Black Sea's ecosystem changed even further with the introduction of exotic species. Economic collapse of the surrounding socialist republics in the early 1990s resulted in decreased nutrient loading which has allowed the Black Sea ecosystem to start to recover, but under rapidly changing economic and political conditions, future recovery is uncertain. In this study we use a multidisciplinary approach to integrate information from socio-economic and ecological systems to model the effects of future development scenarios on the marine environment of the northwestern Black Sea shelf. The Driver–Pressure–State-Impact-Response framework was used to construct conceptual models, explicitly mapping impacts of socio-economic Drivers on the marine ecosystem. Bayesian belief networks (BBNs), a stochastic modelling technique, were used to quantify these causal relationships, operationalise models and assess the effects of alternative development paths on the Black Sea ecosystem. BBNs use probabilistic dependencies as a common metric, allowing the integration of quantitative and qualitative information. Under the Baseline Scenario, recovery of the Black Sea appears tenuous as the exploitation of environmental resources (agriculture, fishing and shipping) increases with continued economic development of post-Soviet countries. This results in the loss of wetlands through drainage and reclamation. Water transparency decreases as phytoplankton bloom and this deterioration in water quality leads to the degradation of coastal plant communities (Cystoseira, seagrass) and also Phyllophora habitat on the shelf. Decomposition of benthic plants results in hypoxia killing flora and fauna associated with these habitats. Ecological pressure from these factors along with constant levels of fishing activity results in target stocks remaining depleted. Of the four Alternative Scenarios, two show improvements on the Baseline ecosystem condition, with improved waste water treatment and reduced fishing pressure, while the other two show a worsening, due to increased natural resource exploitation leading to rapid reversal of any recent ecosystem recovery. From this we conclude that variations in economic policy have significant consequences for the health of the Black Sea, and ecosystem recovery is directly linked to social–economic choices.},\\n bibtype = {article},\\n author = {Langmead, Olivia and McQuatters-Gollop, Abigail and Mee, Laurence D. and Friedrich, Jana and Gilbert, Alison J. and Gomoiu, Marian-Traian and Jackson, Emma L. and Knudsen, Ståle and Minicheva, Galina and Todorova, Valentina},\\n doi = {10.1016/j.ecolmodel.2008.09.011},\\n journal = {Ecological Modelling},\\n number = {21}\\n}\",\"author_short\":[\"Langmead,  O.\",\"McQuatters-Gollop,  A.\",\"Mee,  L., D.\",\"Friedrich,  J.\",\"Gilbert,  A., J.\",\"Gomoiu,  M.\",\"Jackson,  E., L.\",\"Knudsen,  S.\",\"Minicheva,  G.\",\"Todorova,  V.\"],\"urls\":{\"Website\":\"http://www.sciencedirect.com/science/article/pii/S0304380008004420\"},\"biburl\":\"https://bibbase.org/service/mendeley/95e10851-cdf3-31de-9f82-1ab629e601b0\",\"bibbaseid\":\"langmead-mcquattersgollop-mee-friedrich-gilbert-gomoiu-jackson-knudsen-etal-recoveryordeclineofthenorthwesternblackseaasocietalchoicerevealedbysocioecologicalmodelling-2009\",\"role\":\"author\",\"keyword\":[\"Bayesian belief network (BBN)\",\"Black Sea\",\"DPSIR\",\"Eutrophication\",\"Marine socio-ecological systems\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Predicting a ‘tree change’ in Australia's tropical savannas: Combining different types of models to understand complex ecosystem behaviour\",\"type\":\"article\",\"year\":\"2010\",\"keywords\":\"Bayesian networks,Fire management,Flames,Grazing management,Probabilistic modelling,Simulation modelling,Tree density,Woody thickening\",\"pages\":\"2565-2575\",\"volume\":\"221\",\"websites\":\"http://www.sciencedirect.com/science/article/pii/S0304380010003777\",\"month\":\"10\",\"id\":\"1631db95-a2c7-3a43-a51f-e7457cf86c6f\",\"created\":\"2015-04-12T19:14:40.000Z\",\"accessed\":\"2015-04-11\",\"file_attached\":false,\"profile_id\":\"95e10851-cdf3-31de-9f82-1ab629e601b0\",\"group_id\":\"5efe986e-978a-3009-a061-88cca2e117b0\",\"last_modified\":\"2017-03-14T14:39:39.366Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"In this study, key ecological modelling limitations of a process-based simulation model and a Bayesian network were reduced by combining the two approaches. We demonstrate the combined modelling approach with a case study investigating increases in woody vegetation density in northern Australia's tropical savannas. We found that by utilising the strengths of a simulation model and a Bayesian network we could both forecast future change in woody vegetation density and diagnose the reasons for current vegetation states. The local conditions of climate, soil characteristics and the starting population of trees were found to be more important in explaining the likelihood of change in woody vegetation density compared to management practices such as grazing pressure and fire regimes. We conclude that combining the strengths of a process and BN model allowed us to produce a simple model that utilised the ability of the process model to simulate ecosystem processes in detail and over long time periods, and the ability of the BN to capture uncertainty in ecosystem response and to conduct scenario, sensitivity and diagnostic analysis. The overall result was a model that has the potential to provide land managers with a better understanding of the behaviour of a complex ecosystem than simply utilising either modelling approach in isolation.\",\"bibtype\":\"article\",\"author\":\"Liedloff, Adam C. and Smith, Carl S.\",\"doi\":\"10.1016/j.ecolmodel.2010.07.022\",\"journal\":\"Ecological Modelling\",\"number\":\"21\",\"bibtex\":\"@article{\\n title = {Predicting a ‘tree change’ in Australia's tropical savannas: Combining different types of models to understand complex ecosystem behaviour},\\n type = {article},\\n year = {2010},\\n keywords = {Bayesian networks,Fire management,Flames,Grazing management,Probabilistic modelling,Simulation modelling,Tree density,Woody thickening},\\n pages = {2565-2575},\\n volume = {221},\\n websites = {http://www.sciencedirect.com/science/article/pii/S0304380010003777},\\n month = {10},\\n id = {1631db95-a2c7-3a43-a51f-e7457cf86c6f},\\n created = {2015-04-12T19:14:40.000Z},\\n accessed = {2015-04-11},\\n file_attached = {false},\\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\\n last_modified = {2017-03-14T14:39:39.366Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {In this study, key ecological modelling limitations of a process-based simulation model and a Bayesian network were reduced by combining the two approaches. We demonstrate the combined modelling approach with a case study investigating increases in woody vegetation density in northern Australia's tropical savannas. We found that by utilising the strengths of a simulation model and a Bayesian network we could both forecast future change in woody vegetation density and diagnose the reasons for current vegetation states. The local conditions of climate, soil characteristics and the starting population of trees were found to be more important in explaining the likelihood of change in woody vegetation density compared to management practices such as grazing pressure and fire regimes. We conclude that combining the strengths of a process and BN model allowed us to produce a simple model that utilised the ability of the process model to simulate ecosystem processes in detail and over long time periods, and the ability of the BN to capture uncertainty in ecosystem response and to conduct scenario, sensitivity and diagnostic analysis. The overall result was a model that has the potential to provide land managers with a better understanding of the behaviour of a complex ecosystem than simply utilising either modelling approach in isolation.},\\n bibtype = {article},\\n author = {Liedloff, Adam C. and Smith, Carl S.},\\n doi = {10.1016/j.ecolmodel.2010.07.022},\\n journal = {Ecological Modelling},\\n number = {21}\\n}\",\"author_short\":[\"Liedloff,  A., C.\",\"Smith,  C., S.\"],\"urls\":{\"Website\":\"http://www.sciencedirect.com/science/article/pii/S0304380010003777\"},\"biburl\":\"https://bibbase.org/service/mendeley/95e10851-cdf3-31de-9f82-1ab629e601b0\",\"bibbaseid\":\"liedloff-smith-predictingatreechangeinaustraliastropicalsavannascombiningdifferenttypesofmodelstounderstandcomplexecosystembehaviour-2010\",\"role\":\"author\",\"keyword\":[\"Bayesian networks\",\"Fire management\",\"Flames\",\"Grazing management\",\"Probabilistic modelling\",\"Simulation modelling\",\"Tree density\",\"Woody thickening\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Identifying associations in Escherichia coli antimicrobial resistance patterns using additive Bayesian networks.\",\"type\":\"article\",\"year\":\"2013\",\"keywords\":\"Animals,Anti-Bacterial Agents,Anti-Bacterial Agents: pharmacology,Bayes Theorem,Canada,Drug Resistance, Multiple, Bacterial,Escherichia coli,Escherichia coli Infections,Escherichia coli Infections: epidemiology,Escherichia coli Infections: microbiology,Escherichia coli Infections: veterinary,Escherichia coli: drug effects,Feces,Feces: microbiology,Multivariate Analysis,Risk Factors,Seasons,Swine,Swine Diseases,Swine Diseases: epidemiology,Swine Diseases: microbiology\",\"pages\":\"64-75\",\"volume\":\"110\",\"websites\":\"http://www.sciencedirect.com/science/article/pii/S0167587713000366\",\"month\":\"5\",\"day\":\"15\",\"id\":\"5d19bdcc-c46f-3d67-a7e3-8fa6e18f2019\",\"created\":\"2015-04-12T19:47:10.000Z\",\"accessed\":\"2015-04-11\",\"file_attached\":false,\"profile_id\":\"95e10851-cdf3-31de-9f82-1ab629e601b0\",\"group_id\":\"5efe986e-978a-3009-a061-88cca2e117b0\",\"last_modified\":\"2017-03-14T14:39:39.366Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"While the genesis of antimicrobial resistance (AMR) in animal production is a high profile topic in the media and the scientific community, it is still not well understood. The epidemiology of AMR is complex. This complexity is demonstrated by extensive biological and evolutionary mechanisms which are potentially impacted by farm management and husbandry practices - the risk factors. Many parts of this system have yet to be fully described. Notably, the occurrence of multiple resistance patterns is the rule rather than exception - the multivariate problem. A first essential step in the development of any comprehensive risk factor analysis - whose goal is the prevention or reduction of AMR - is to describe those associations between different patterns of resistance which are systematic. That is, have sufficient statistical support for these patterns to be considered robust features of the underlying epidemiological system, and whose presence must therefore be incorporated into any risk factor analysis of AMR for it to be meaningful with respect to the farm environment. Presented here is a case study that seeks to identify systematic associations between patterns of resistance to 13 different antimicrobials in Escherichia coli isolates obtained from composite finisher (>80 kg) pig faecal samples obtained from Canada's five major pork producing provinces. The use of a Bayesian network analysis approach allowed us to identify many systematic associations between individual antimicrobial resistances. Sixteen of these resistances are corroborated with existing literature. These associations are distributed between several important classes of antimicrobials including the β-lactams, folate biosynthesis inhibitors, tetracyclines, aminoglycosides and quinolones. This study presents an exciting first step towards the larger and far more ambitious goal of developing generic and holistic risk factor analyses for on-farm occurrence of AMR. Analyses of this nature would combine multivariate response variables (joint patterns of resistance) with multi-factorial causal factors from within the livestock production environment thereby permitting a more complete understanding of the epidemiology of antimicrobial resistance.\",\"bibtype\":\"article\",\"author\":\"Ludwig, Antoinette and Berthiaume, Philippe and Boerlin, Patrick and Gow, Sheryl and Léger, David and Lewis, Fraser I\",\"doi\":\"10.1016/j.prevetmed.2013.02.005\",\"journal\":\"Preventive veterinary medicine\",\"number\":\"1\",\"bibtex\":\"@article{\\n title = {Identifying associations in Escherichia coli antimicrobial resistance patterns using additive Bayesian networks.},\\n type = {article},\\n year = {2013},\\n keywords = {Animals,Anti-Bacterial Agents,Anti-Bacterial Agents: pharmacology,Bayes Theorem,Canada,Drug Resistance, Multiple, Bacterial,Escherichia coli,Escherichia coli Infections,Escherichia coli Infections: epidemiology,Escherichia coli Infections: microbiology,Escherichia coli Infections: veterinary,Escherichia coli: drug effects,Feces,Feces: microbiology,Multivariate Analysis,Risk Factors,Seasons,Swine,Swine Diseases,Swine Diseases: epidemiology,Swine Diseases: microbiology},\\n pages = {64-75},\\n volume = {110},\\n websites = {http://www.sciencedirect.com/science/article/pii/S0167587713000366},\\n month = {5},\\n day = {15},\\n id = {5d19bdcc-c46f-3d67-a7e3-8fa6e18f2019},\\n created = {2015-04-12T19:47:10.000Z},\\n accessed = {2015-04-11},\\n file_attached = {false},\\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\\n last_modified = {2017-03-14T14:39:39.366Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {While the genesis of antimicrobial resistance (AMR) in animal production is a high profile topic in the media and the scientific community, it is still not well understood. The epidemiology of AMR is complex. This complexity is demonstrated by extensive biological and evolutionary mechanisms which are potentially impacted by farm management and husbandry practices - the risk factors. Many parts of this system have yet to be fully described. Notably, the occurrence of multiple resistance patterns is the rule rather than exception - the multivariate problem. A first essential step in the development of any comprehensive risk factor analysis - whose goal is the prevention or reduction of AMR - is to describe those associations between different patterns of resistance which are systematic. That is, have sufficient statistical support for these patterns to be considered robust features of the underlying epidemiological system, and whose presence must therefore be incorporated into any risk factor analysis of AMR for it to be meaningful with respect to the farm environment. Presented here is a case study that seeks to identify systematic associations between patterns of resistance to 13 different antimicrobials in Escherichia coli isolates obtained from composite finisher (>80 kg) pig faecal samples obtained from Canada's five major pork producing provinces. The use of a Bayesian network analysis approach allowed us to identify many systematic associations between individual antimicrobial resistances. Sixteen of these resistances are corroborated with existing literature. These associations are distributed between several important classes of antimicrobials including the β-lactams, folate biosynthesis inhibitors, tetracyclines, aminoglycosides and quinolones. This study presents an exciting first step towards the larger and far more ambitious goal of developing generic and holistic risk factor analyses for on-farm occurrence of AMR. Analyses of this nature would combine multivariate response variables (joint patterns of resistance) with multi-factorial causal factors from within the livestock production environment thereby permitting a more complete understanding of the epidemiology of antimicrobial resistance.},\\n bibtype = {article},\\n author = {Ludwig, Antoinette and Berthiaume, Philippe and Boerlin, Patrick and Gow, Sheryl and Léger, David and Lewis, Fraser I},\\n doi = {10.1016/j.prevetmed.2013.02.005},\\n journal = {Preventive veterinary medicine},\\n number = {1}\\n}\",\"author_short\":[\"Ludwig,  A.\",\"Berthiaume,  P.\",\"Boerlin,  P.\",\"Gow,  S.\",\"Léger,  D.\",\"Lewis,  F., I.\"],\"urls\":{\"Website\":\"http://www.sciencedirect.com/science/article/pii/S0167587713000366\"},\"biburl\":\"https://bibbase.org/service/mendeley/95e10851-cdf3-31de-9f82-1ab629e601b0\",\"bibbaseid\":\"ludwig-berthiaume-boerlin-gow-lger-lewis-identifyingassociationsinescherichiacoliantimicrobialresistancepatternsusingadditivebayesiannetworks-2013\",\"role\":\"author\",\"keyword\":[\"Animals\",\"Anti-Bacterial Agents\",\"Anti-Bacterial Agents: pharmacology\",\"Bayes Theorem\",\"Canada\",\"Drug Resistance\",\"Multiple\",\"Bacterial\",\"Escherichia coli\",\"Escherichia coli Infections\",\"Escherichia coli Infections: epidemiology\",\"Escherichia coli Infections: microbiology\",\"Escherichia coli Infections: veterinary\",\"Escherichia coli: drug effects\",\"Feces\",\"Feces: microbiology\",\"Multivariate Analysis\",\"Risk Factors\",\"Seasons\",\"Swine\",\"Swine Diseases\",\"Swine Diseases: epidemiology\",\"Swine Diseases: microbiology\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement\",\"type\":\"article\",\"year\":\"2001\",\"keywords\":\"Bayesian belief networks,Bayesian statistics,Columbia River,Fish modeling,Interior Columbia basin,Population viability,Wildlife modeling\",\"pages\":\"29-42\",\"volume\":\"153\",\"websites\":\"http://www.sciencedirect.com/science/article/pii/S0378112701004522\",\"month\":\"10\",\"id\":\"b78c14c9-7395-3149-9c84-f02c9314edae\",\"created\":\"2015-04-12T19:47:10.000Z\",\"accessed\":\"2015-04-11\",\"file_attached\":false,\"profile_id\":\"95e10851-cdf3-31de-9f82-1ab629e601b0\",\"group_id\":\"5efe986e-978a-3009-a061-88cca2e117b0\",\"last_modified\":\"2017-03-14T14:39:39.366Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"We developed procedures for using Bayesian belief networks (BBNs) to model habitat and population viability of selected at-risk fish and wildlife species. The BBN models represent the ecological causal web of key environmental correlates (KECs) that most influence habitat capability, potential population response for each species, and influence of habitat planning alternatives. BBN models represent site-specific KECs, habitat capability at the subwatershed level, and pattern of habitat capability across all subwatersheds. BBNs use Dirichlet prior probability distributions and standard Bayesian updating of posterior probabilities. We derived estimates of prior and conditional probabilities from a mix of empirical data and expert judgment, mostly the latter. Sensitivity analyses identified planning decisions and KECs that most influence species outcomes, and can help prioritize monitoring activities. BBN models, however, substitute for neither field studies nor empirical, quantitative population viability analyses of population demography and genetics.\",\"bibtype\":\"article\",\"author\":\"Marcot, Bruce G and Holthausen, Richard S and Raphael, Martin G and Rowland, Mary M and Wisdom, Michael J\",\"doi\":\"10.1016/S0378-1127(01)00452-2\",\"journal\":\"Forest Ecology and Management\",\"number\":\"1-3\",\"bibtex\":\"@article{\\n title = {Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement},\\n type = {article},\\n year = {2001},\\n keywords = {Bayesian belief networks,Bayesian statistics,Columbia River,Fish modeling,Interior Columbia basin,Population viability,Wildlife modeling},\\n pages = {29-42},\\n volume = {153},\\n websites = {http://www.sciencedirect.com/science/article/pii/S0378112701004522},\\n month = {10},\\n id = {b78c14c9-7395-3149-9c84-f02c9314edae},\\n created = {2015-04-12T19:47:10.000Z},\\n accessed = {2015-04-11},\\n file_attached = {false},\\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\\n last_modified = {2017-03-14T14:39:39.366Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {We developed procedures for using Bayesian belief networks (BBNs) to model habitat and population viability of selected at-risk fish and wildlife species. The BBN models represent the ecological causal web of key environmental correlates (KECs) that most influence habitat capability, potential population response for each species, and influence of habitat planning alternatives. BBN models represent site-specific KECs, habitat capability at the subwatershed level, and pattern of habitat capability across all subwatersheds. BBNs use Dirichlet prior probability distributions and standard Bayesian updating of posterior probabilities. We derived estimates of prior and conditional probabilities from a mix of empirical data and expert judgment, mostly the latter. Sensitivity analyses identified planning decisions and KECs that most influence species outcomes, and can help prioritize monitoring activities. BBN models, however, substitute for neither field studies nor empirical, quantitative population viability analyses of population demography and genetics.},\\n bibtype = {article},\\n author = {Marcot, Bruce G and Holthausen, Richard S and Raphael, Martin G and Rowland, Mary M and Wisdom, Michael J},\\n doi = {10.1016/S0378-1127(01)00452-2},\\n journal = {Forest Ecology and Management},\\n number = {1-3}\\n}\",\"author_short\":[\"Marcot,  B., G.\",\"Holthausen,  R., S.\",\"Raphael,  M., G.\",\"Rowland,  M., M.\",\"Wisdom,  M., J.\"],\"urls\":{\"Website\":\"http://www.sciencedirect.com/science/article/pii/S0378112701004522\"},\"biburl\":\"https://bibbase.org/service/mendeley/95e10851-cdf3-31de-9f82-1ab629e601b0\",\"bibbaseid\":\"marcot-holthausen-raphael-rowland-wisdom-usingbayesianbeliefnetworkstoevaluatefishandwildlifepopulationviabilityunderlandmanagementalternativesfromanenvironmentalimpactstatement-2001\",\"role\":\"author\",\"keyword\":[\"Bayesian belief networks\",\"Bayesian statistics\",\"Columbia River\",\"Fish modeling\",\"Interior Columbia basin\",\"Population viability\",\"Wildlife modeling\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Analysis of topographic and vegetative factors with data mining for landslide verification\",\"type\":\"article\",\"year\":\"2013\",\"keywords\":\"Bayesian Network,Data mining,Decision Tree,Landslide,Slope stability,Vegetation index\",\"pages\":\"669-677\",\"volume\":\"61\",\"websites\":\"http://www.sciencedirect.com/science/article/pii/S0925857413003224\",\"month\":\"12\",\"id\":\"417a18c7-c2cc-369e-a07c-e186fe93af21\",\"created\":\"2015-04-12T20:17:33.000Z\",\"accessed\":\"2015-03-03\",\"file_attached\":false,\"profile_id\":\"95e10851-cdf3-31de-9f82-1ab629e601b0\",\"group_id\":\"5efe986e-978a-3009-a061-88cca2e117b0\",\"last_modified\":\"2017-03-14T14:39:39.366Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"This study employed data mining techniques to analyze topographic and vegetative factors for the verification of landslides induced by heavy rainfall in a regional scale in Taiwan. Decision Tree and Bayesian Network data mining algorithms were implemented to extract knowledge from supplied landslide factors. Eleven topographic and vegetative factors were considered for landslide analysis. In addition to individual factors derived from digital terrain model and satellite images, combined factors were also generated from data fusion. Landslide data of the study site collected between 2004 and 2007 were used to generate rules with data mining and to construct models of landslide factors. The constructed landslide factor models were used to verify landslide detections and to predict potential landslides. The prediction results of landslide events in 2008 were then verified against field-collected ground truth to evaluate the effectiveness of the models. In this study, topographic and vegetative parameters have been proven to be significant factors for landslides in the study site. Preliminary experimental results also indicate that the constructed models with data mining can achieve high accuracy in landslide detection. However, when directly applying the models for the prediction of potential landslides, the results were not reliable due to spatial uncertainties of the data. To address this issue, a statistics-based mechanism was developed to reduce data uncertainties. The results demonstrate that after reducing data uncertainties, the models can produce more reliable results of landslide prediction in the study site, as the kappa coefficients in the prediction were substantially increased by 29% using Decision Tree and by 20% using Bayesian Network algorithms, respectively.\",\"bibtype\":\"article\",\"author\":\"Tsai, Fuan and Lai, Jhe-Syuan and Chen, Walter W. and Lin, Tang-Huang\",\"doi\":\"10.1016/j.ecoleng.2013.07.070\",\"journal\":\"Ecological Engineering\",\"bibtex\":\"@article{\\n title = {Analysis of topographic and vegetative factors with data mining for landslide verification},\\n type = {article},\\n year = {2013},\\n keywords = {Bayesian Network,Data mining,Decision Tree,Landslide,Slope stability,Vegetation index},\\n pages = {669-677},\\n volume = {61},\\n websites = {http://www.sciencedirect.com/science/article/pii/S0925857413003224},\\n month = {12},\\n id = {417a18c7-c2cc-369e-a07c-e186fe93af21},\\n created = {2015-04-12T20:17:33.000Z},\\n accessed = {2015-03-03},\\n file_attached = {false},\\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\\n last_modified = {2017-03-14T14:39:39.366Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {This study employed data mining techniques to analyze topographic and vegetative factors for the verification of landslides induced by heavy rainfall in a regional scale in Taiwan. Decision Tree and Bayesian Network data mining algorithms were implemented to extract knowledge from supplied landslide factors. Eleven topographic and vegetative factors were considered for landslide analysis. In addition to individual factors derived from digital terrain model and satellite images, combined factors were also generated from data fusion. Landslide data of the study site collected between 2004 and 2007 were used to generate rules with data mining and to construct models of landslide factors. The constructed landslide factor models were used to verify landslide detections and to predict potential landslides. The prediction results of landslide events in 2008 were then verified against field-collected ground truth to evaluate the effectiveness of the models. In this study, topographic and vegetative parameters have been proven to be significant factors for landslides in the study site. Preliminary experimental results also indicate that the constructed models with data mining can achieve high accuracy in landslide detection. However, when directly applying the models for the prediction of potential landslides, the results were not reliable due to spatial uncertainties of the data. To address this issue, a statistics-based mechanism was developed to reduce data uncertainties. The results demonstrate that after reducing data uncertainties, the models can produce more reliable results of landslide prediction in the study site, as the kappa coefficients in the prediction were substantially increased by 29% using Decision Tree and by 20% using Bayesian Network algorithms, respectively.},\\n bibtype = {article},\\n author = {Tsai, Fuan and Lai, Jhe-Syuan and Chen, Walter W. and Lin, Tang-Huang},\\n doi = {10.1016/j.ecoleng.2013.07.070},\\n journal = {Ecological Engineering}\\n}\",\"author_short\":[\"Tsai,  F.\",\"Lai,  J.\",\"Chen,  W., W.\",\"Lin,  T.\"],\"urls\":{\"Website\":\"http://www.sciencedirect.com/science/article/pii/S0925857413003224\"},\"biburl\":\"https://bibbase.org/service/mendeley/95e10851-cdf3-31de-9f82-1ab629e601b0\",\"bibbaseid\":\"tsai-lai-chen-lin-analysisoftopographicandvegetativefactorswithdataminingforlandslideverification-2013\",\"role\":\"author\",\"keyword\":[\"Bayesian Network\",\"Data mining\",\"Decision Tree\",\"Landslide\",\"Slope stability\",\"Vegetation index\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Use of a Bayesian network model to identify factors associated with the presence of the tick Ornithodoros erraticus on pig farms in southern Portugal.\",\"type\":\"article\",\"year\":\"2013\",\"keywords\":\"Animal Husbandry,Animal Husbandry: methods,Animals,Bayes Theorem,Environment,Models, Biological,Ornithodoros,Ornithodoros: physiology,Portugal,Swine,Swine Diseases,Swine Diseases: epidemiology,Swine Diseases: parasitology,Tick Infestations,Tick Infestations: epidemiology,Tick Infestations: parasitology,Tick Infestations: veterinary\",\"pages\":\"45-53\",\"volume\":\"110\",\"websites\":\"http://www.sciencedirect.com/science/article/pii/S0167587713000378\",\"month\":\"5\",\"day\":\"15\",\"id\":\"d1b9c43a-b2ae-3bb5-91f3-5d712d733270\",\"created\":\"2015-04-12T20:17:34.000Z\",\"accessed\":\"2015-03-12\",\"file_attached\":false,\"profile_id\":\"95e10851-cdf3-31de-9f82-1ab629e601b0\",\"group_id\":\"5efe986e-978a-3009-a061-88cca2e117b0\",\"last_modified\":\"2017-03-14T14:39:39.366Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"The soft tick Ornithodoros erraticus occurs on pig farms in southern Portugal and Spain and transmits several important pathogens of humans and livestock. Its distribution is patchy and the determinants of its distribution are uncertain. Here, we use a Bayesian network model to explore possible associations between climate, farm management and the presence of O. erraticus. The resulting network confirms previous suggestions that the presence of O. erraticus is more likely in traditionally constructed pig housing, and indicates that carbon dioxide traps are highly effective for the detection of O. erraticus. Our approach also picked up several other intuitively reasonable relationships, including that traditional housing was more likely to be in poor condition and more likely to be out of use, and that buildings which were in use to house pigs were also less likely to be derelict. Neither temperature nor precipitation had any direct effect on the probability of the presence of O. erraticus, suggesting that the distribution of the species is primarily driven by farm management factors.\",\"bibtype\":\"article\",\"author\":\"Wilson, Anthony J and Ribeiro, Rita and Boinas, Fernando\",\"doi\":\"10.1016/j.prevetmed.2013.02.006\",\"journal\":\"Preventive veterinary medicine\",\"number\":\"1\",\"bibtex\":\"@article{\\n title = {Use of a Bayesian network model to identify factors associated with the presence of the tick Ornithodoros erraticus on pig farms in southern Portugal.},\\n type = {article},\\n year = {2013},\\n keywords = {Animal Husbandry,Animal Husbandry: methods,Animals,Bayes Theorem,Environment,Models, Biological,Ornithodoros,Ornithodoros: physiology,Portugal,Swine,Swine Diseases,Swine Diseases: epidemiology,Swine Diseases: parasitology,Tick Infestations,Tick Infestations: epidemiology,Tick Infestations: parasitology,Tick Infestations: veterinary},\\n pages = {45-53},\\n volume = {110},\\n websites = {http://www.sciencedirect.com/science/article/pii/S0167587713000378},\\n month = {5},\\n day = {15},\\n id = {d1b9c43a-b2ae-3bb5-91f3-5d712d733270},\\n created = {2015-04-12T20:17:34.000Z},\\n accessed = {2015-03-12},\\n file_attached = {false},\\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\\n last_modified = {2017-03-14T14:39:39.366Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {The soft tick Ornithodoros erraticus occurs on pig farms in southern Portugal and Spain and transmits several important pathogens of humans and livestock. Its distribution is patchy and the determinants of its distribution are uncertain. Here, we use a Bayesian network model to explore possible associations between climate, farm management and the presence of O. erraticus. The resulting network confirms previous suggestions that the presence of O. erraticus is more likely in traditionally constructed pig housing, and indicates that carbon dioxide traps are highly effective for the detection of O. erraticus. Our approach also picked up several other intuitively reasonable relationships, including that traditional housing was more likely to be in poor condition and more likely to be out of use, and that buildings which were in use to house pigs were also less likely to be derelict. Neither temperature nor precipitation had any direct effect on the probability of the presence of O. erraticus, suggesting that the distribution of the species is primarily driven by farm management factors.},\\n bibtype = {article},\\n author = {Wilson, Anthony J and Ribeiro, Rita and Boinas, Fernando},\\n doi = {10.1016/j.prevetmed.2013.02.006},\\n journal = {Preventive veterinary medicine},\\n number = {1}\\n}\",\"author_short\":[\"Wilson,  A., J.\",\"Ribeiro,  R.\",\"Boinas,  F.\"],\"urls\":{\"Website\":\"http://www.sciencedirect.com/science/article/pii/S0167587713000378\"},\"biburl\":\"https://bibbase.org/service/mendeley/95e10851-cdf3-31de-9f82-1ab629e601b0\",\"bibbaseid\":\"wilson-ribeiro-boinas-useofabayesiannetworkmodeltoidentifyfactorsassociatedwiththepresenceofthetickornithodoroserraticusonpigfarmsinsouthernportugal-2013\",\"role\":\"author\",\"keyword\":[\"Animal Husbandry\",\"Animal Husbandry: methods\",\"Animals\",\"Bayes Theorem\",\"Environment\",\"Models\",\"Biological\",\"Ornithodoros\",\"Ornithodoros: physiology\",\"Portugal\",\"Swine\",\"Swine Diseases\",\"Swine Diseases: epidemiology\",\"Swine Diseases: parasitology\",\"Tick Infestations\",\"Tick Infestations: epidemiology\",\"Tick Infestations: parasitology\",\"Tick Infestations: veterinary\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Using Bayesian networks to explore the role of weather as a potential determinant of disease in pigs.\",\"type\":\"article\",\"year\":\"2013\",\"keywords\":\"Animals,Bayes Theorem,Climate,Great Britain,Models, Statistical,Regression Analysis,Risk Factors,Seasons,Swine,Swine Diseases,Swine Diseases: epidemiology,Swine Diseases: etiology,Weather\",\"pages\":\"54-63\",\"volume\":\"110\",\"websites\":\"http://www.sciencedirect.com/science/article/pii/S0167587713000329\",\"month\":\"5\",\"day\":\"15\",\"id\":\"7de5df59-033b-3aa7-ba6a-05b605403017\",\"created\":\"2015-04-12T20:17:35.000Z\",\"accessed\":\"2015-04-11\",\"file_attached\":false,\"profile_id\":\"95e10851-cdf3-31de-9f82-1ab629e601b0\",\"group_id\":\"5efe986e-978a-3009-a061-88cca2e117b0\",\"last_modified\":\"2017-03-14T14:39:39.366Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"Many pathogens are sensitive to climatic variables and this is reflected in their seasonality of occurrence and transmission. The identification of environmental conditions that influence disease occurrence can be subtle, particularly considering their complex interdependencies in addition to those relationships between climate and disease. Statistical treatment of environmental variables is often dependent on their correlations and thus descriptions of climate are often restricted to means rather than accounting for the more precise aspects (including mean, maximum, minimum, variability). Here we utilize a novel multivariate statistical modelling approach, additive Bayesian network (ABN) analyses, to identify the inter-linkages of different weather variables to better capture short-term environmental conditions that are important drivers of disease. We present a case study that explores weather as a driver of disease in livestock systems. We utilize quality assurance health scheme data on ten major diseases of pigs from 875 finishing pig herds distributed across the United Kingdom over 7 years (2005-2011). We examine the relationship between the occurrence of these pathologies and contemporary weather conditions measured by local meteorological stations. All ten pathologies were associated with at least 2 other pathologies (maximum 6). Three pathologies were associated directly with temperature variables: papular dermatitis, enzootic pneumonia and milk spots. Latitude was strongly associated with multiple pathologies, though associations with longitude were eliminated when clustering for repeated observations of farms was assessed. The identification of relationships between climatic factors and different (potentially related) diseases offers a more comprehensive insight into the complex role of seasonal drivers and herd health status than traditional analytical methods.\",\"bibtype\":\"article\",\"author\":\"McCormick, B J J and Sanchez-Vazquez, M J and Lewis, F I\",\"doi\":\"10.1016/j.prevetmed.2013.02.001\",\"journal\":\"Preventive veterinary medicine\",\"number\":\"1\",\"bibtex\":\"@article{\\n title = {Using Bayesian networks to explore the role of weather as a potential determinant of disease in pigs.},\\n type = {article},\\n year = {2013},\\n keywords = {Animals,Bayes Theorem,Climate,Great Britain,Models, Statistical,Regression Analysis,Risk Factors,Seasons,Swine,Swine Diseases,Swine Diseases: epidemiology,Swine Diseases: etiology,Weather},\\n pages = {54-63},\\n volume = {110},\\n websites = {http://www.sciencedirect.com/science/article/pii/S0167587713000329},\\n month = {5},\\n day = {15},\\n id = {7de5df59-033b-3aa7-ba6a-05b605403017},\\n created = {2015-04-12T20:17:35.000Z},\\n accessed = {2015-04-11},\\n file_attached = {false},\\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\\n last_modified = {2017-03-14T14:39:39.366Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {Many pathogens are sensitive to climatic variables and this is reflected in their seasonality of occurrence and transmission. The identification of environmental conditions that influence disease occurrence can be subtle, particularly considering their complex interdependencies in addition to those relationships between climate and disease. Statistical treatment of environmental variables is often dependent on their correlations and thus descriptions of climate are often restricted to means rather than accounting for the more precise aspects (including mean, maximum, minimum, variability). Here we utilize a novel multivariate statistical modelling approach, additive Bayesian network (ABN) analyses, to identify the inter-linkages of different weather variables to better capture short-term environmental conditions that are important drivers of disease. We present a case study that explores weather as a driver of disease in livestock systems. We utilize quality assurance health scheme data on ten major diseases of pigs from 875 finishing pig herds distributed across the United Kingdom over 7 years (2005-2011). We examine the relationship between the occurrence of these pathologies and contemporary weather conditions measured by local meteorological stations. All ten pathologies were associated with at least 2 other pathologies (maximum 6). Three pathologies were associated directly with temperature variables: papular dermatitis, enzootic pneumonia and milk spots. Latitude was strongly associated with multiple pathologies, though associations with longitude were eliminated when clustering for repeated observations of farms was assessed. The identification of relationships between climatic factors and different (potentially related) diseases offers a more comprehensive insight into the complex role of seasonal drivers and herd health status than traditional analytical methods.},\\n bibtype = {article},\\n author = {McCormick, B J J and Sanchez-Vazquez, M J and Lewis, F I},\\n doi = {10.1016/j.prevetmed.2013.02.001},\\n journal = {Preventive veterinary medicine},\\n number = {1}\\n}\",\"author_short\":[\"McCormick,  B., J., J.\",\"Sanchez-Vazquez,  M., J.\",\"Lewis,  F., I.\"],\"urls\":{\"Website\":\"http://www.sciencedirect.com/science/article/pii/S0167587713000329\"},\"biburl\":\"https://bibbase.org/service/mendeley/95e10851-cdf3-31de-9f82-1ab629e601b0\",\"bibbaseid\":\"mccormick-sanchezvazquez-lewis-usingbayesiannetworkstoexploretheroleofweatherasapotentialdeterminantofdiseaseinpigs-2013\",\"role\":\"author\",\"keyword\":[\"Animals\",\"Bayes Theorem\",\"Climate\",\"Great Britain\",\"Models\",\"Statistical\",\"Regression Analysis\",\"Risk Factors\",\"Seasons\",\"Swine\",\"Swine Diseases\",\"Swine Diseases: epidemiology\",\"Swine Diseases: etiology\",\"Weather\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Applying Bayesian Belief Network approach to customer churn analysis: A case study on the telecom industry of Turkey\",\"type\":\"article\",\"year\":\"2011\",\"keywords\":\"Bayesian Belief Networks,Churn analysis,Telecom\",\"pages\":\"7151-7157\",\"volume\":\"38\",\"websites\":\"http://www.sciencedirect.com/science/article/pii/S0957417410014089\",\"month\":\"6\",\"id\":\"99a0b43a-9b8b-389f-b0b2-eb18127bc767\",\"created\":\"2015-04-12T21:20:17.000Z\",\"accessed\":\"2015-04-11\",\"file_attached\":false,\"profile_id\":\"95e10851-cdf3-31de-9f82-1ab629e601b0\",\"group_id\":\"5efe986e-978a-3009-a061-88cca2e117b0\",\"last_modified\":\"2017-03-14T14:39:39.366Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"In telecommunication industry, for many organizations, it is really important to take place in the market. As competition increases between companies, customer churn becomes a great issue to deal with by the telecommunication providers. For an effective churn management, companies try to retain their existing customers, instead of acquiring new ones. Previous researches focus on predicting the customers with a propensity to churn in telecommunication industry. In this study, a model is constructed by Bayesian Belief Network to identify the behaviors of customers with a propensity to churn. The data used are collected from one of the telecommunication providers in Turkey. First, as only discrete variables are used in Bayesian Belief Networks, CHAID (Chi-squared Automatic Interaction Detector) algorithm is applied to discretize continuous variables. Then, a causal map as a base of Bayesian Belief Network is brought out via the results of correlation analysis, multicollinearity test and experts’ opinions. According to the results of Bayesian Belief Network, average minutes of calls, average billing amount, the frequency of calls to people from different providers and tariff type are the most important variables that explain customer churn. At the end of the study, three different scenarios that examine the characteristics of the churners are analyzed and promotions are suggested to reduce the churn rate.\",\"bibtype\":\"article\",\"author\":\"Kisioglu, Pınar and Topcu, Y. Ilker\",\"doi\":\"10.1016/j.eswa.2010.12.045\",\"journal\":\"Expert Systems with Applications\",\"number\":\"6\",\"bibtex\":\"@article{\\n title = {Applying Bayesian Belief Network approach to customer churn analysis: A case study on the telecom industry of Turkey},\\n type = {article},\\n year = {2011},\\n keywords = {Bayesian Belief Networks,Churn analysis,Telecom},\\n pages = {7151-7157},\\n volume = {38},\\n websites = {http://www.sciencedirect.com/science/article/pii/S0957417410014089},\\n month = {6},\\n id = {99a0b43a-9b8b-389f-b0b2-eb18127bc767},\\n created = {2015-04-12T21:20:17.000Z},\\n accessed = {2015-04-11},\\n file_attached = {false},\\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\\n last_modified = {2017-03-14T14:39:39.366Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {In telecommunication industry, for many organizations, it is really important to take place in the market. As competition increases between companies, customer churn becomes a great issue to deal with by the telecommunication providers. For an effective churn management, companies try to retain their existing customers, instead of acquiring new ones. Previous researches focus on predicting the customers with a propensity to churn in telecommunication industry. In this study, a model is constructed by Bayesian Belief Network to identify the behaviors of customers with a propensity to churn. The data used are collected from one of the telecommunication providers in Turkey. First, as only discrete variables are used in Bayesian Belief Networks, CHAID (Chi-squared Automatic Interaction Detector) algorithm is applied to discretize continuous variables. Then, a causal map as a base of Bayesian Belief Network is brought out via the results of correlation analysis, multicollinearity test and experts’ opinions. According to the results of Bayesian Belief Network, average minutes of calls, average billing amount, the frequency of calls to people from different providers and tariff type are the most important variables that explain customer churn. At the end of the study, three different scenarios that examine the characteristics of the churners are analyzed and promotions are suggested to reduce the churn rate.},\\n bibtype = {article},\\n author = {Kisioglu, Pınar and Topcu, Y. Ilker},\\n doi = {10.1016/j.eswa.2010.12.045},\\n journal = {Expert Systems with Applications},\\n number = {6}\\n}\",\"author_short\":[\"Kisioglu,  P.\",\"Topcu,  Y., I.\"],\"urls\":{\"Website\":\"http://www.sciencedirect.com/science/article/pii/S0957417410014089\"},\"biburl\":\"https://bibbase.org/service/mendeley/95e10851-cdf3-31de-9f82-1ab629e601b0\",\"bibbaseid\":\"kisioglu-topcu-applyingbayesianbeliefnetworkapproachtocustomerchurnanalysisacasestudyonthetelecomindustryofturkey-2011\",\"role\":\"author\",\"keyword\":[\"Bayesian Belief Networks\",\"Churn analysis\",\"Telecom\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Bayesian belief network for box-office performance: A case study on Korean movies\",\"type\":\"article\",\"year\":\"2009\",\"keywords\":\"Bayesian belief network,Box-office performance,Casual belief network,Domain knowledge\",\"pages\":\"280-291\",\"volume\":\"36\",\"websites\":\"http://www.sciencedirect.com/science/article/pii/S0957417407004228\",\"month\":\"1\",\"id\":\"2e256b9d-0a13-3be0-a073-4de50d4176a8\",\"created\":\"2015-04-12T21:20:17.000Z\",\"accessed\":\"2015-04-11\",\"file_attached\":false,\"profile_id\":\"95e10851-cdf3-31de-9f82-1ab629e601b0\",\"group_id\":\"5efe986e-978a-3009-a061-88cca2e117b0\",\"last_modified\":\"2017-03-14T14:39:39.366Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"Due to their definition as experience goods with short product lifetime cycles, it is difficult to forecast the demand for motion pictures. Nevertheless, producers and distributors of new movies need to forecast box-office results in an attempt to reduce the uncertainty in the motion picture business. Previous research demonstrated the ability of certain movie attributes such as early box-office data and release season to forecast box-office revenues. However, no previous research has focused on the causal relationship among various movie attributes, which have the potential to increase the accuracy of box-office predictions. In this paper a Bayesian belief network (BBN), which is known as a causal belief network, is constructed to investigate the causal relationship among various movie attributes in the performance prediction of box-office success. Subsequently, sensitivity analysis is conducted to determine those attributes most critically related to box-office performance. Finally, the probability of a movie’s box-office success is computed using the BBN model based on the domain knowledge from the value chain of theoretical motion pictures. The results confirm the improved forecasting accuracy of the BBN model compared to artificial neural network and decision tree.\",\"bibtype\":\"article\",\"author\":\"Lee, Kyung Jae and Chang, Woojin\",\"doi\":\"10.1016/j.eswa.2007.09.042\",\"journal\":\"Expert Systems with Applications\",\"number\":\"1\",\"bibtex\":\"@article{\\n title = {Bayesian belief network for box-office performance: A case study on Korean movies},\\n type = {article},\\n year = {2009},\\n keywords = {Bayesian belief network,Box-office performance,Casual belief network,Domain knowledge},\\n pages = {280-291},\\n volume = {36},\\n websites = {http://www.sciencedirect.com/science/article/pii/S0957417407004228},\\n month = {1},\\n id = {2e256b9d-0a13-3be0-a073-4de50d4176a8},\\n created = {2015-04-12T21:20:17.000Z},\\n accessed = {2015-04-11},\\n file_attached = {false},\\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\\n last_modified = {2017-03-14T14:39:39.366Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {Due to their definition as experience goods with short product lifetime cycles, it is difficult to forecast the demand for motion pictures. Nevertheless, producers and distributors of new movies need to forecast box-office results in an attempt to reduce the uncertainty in the motion picture business. Previous research demonstrated the ability of certain movie attributes such as early box-office data and release season to forecast box-office revenues. However, no previous research has focused on the causal relationship among various movie attributes, which have the potential to increase the accuracy of box-office predictions. In this paper a Bayesian belief network (BBN), which is known as a causal belief network, is constructed to investigate the causal relationship among various movie attributes in the performance prediction of box-office success. Subsequently, sensitivity analysis is conducted to determine those attributes most critically related to box-office performance. Finally, the probability of a movie’s box-office success is computed using the BBN model based on the domain knowledge from the value chain of theoretical motion pictures. The results confirm the improved forecasting accuracy of the BBN model compared to artificial neural network and decision tree.},\\n bibtype = {article},\\n author = {Lee, Kyung Jae and Chang, Woojin},\\n doi = {10.1016/j.eswa.2007.09.042},\\n journal = {Expert Systems with Applications},\\n number = {1}\\n}\",\"author_short\":[\"Lee,  K., J.\",\"Chang,  W.\"],\"urls\":{\"Website\":\"http://www.sciencedirect.com/science/article/pii/S0957417407004228\"},\"biburl\":\"https://bibbase.org/service/mendeley/95e10851-cdf3-31de-9f82-1ab629e601b0\",\"bibbaseid\":\"lee-chang-bayesianbeliefnetworkforboxofficeperformanceacasestudyonkoreanmovies-2009\",\"role\":\"author\",\"keyword\":[\"Bayesian belief network\",\"Box-office performance\",\"Casual belief network\",\"Domain knowledge\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Subordinate–manager gender combination and perceived leadership style influence on emotions, self-esteem and organizational commitment\",\"type\":\"article\",\"year\":\"2005\",\"keywords\":\"Bayesian networks,Frustration,Gender combinations,Leadership style,Optimism,Organization-based self-esteem,Organizational commitment\",\"pages\":\"115-125\",\"volume\":\"58\",\"websites\":\"http://www.sciencedirect.com/science/article/pii/S0148296303001127\",\"month\":\"2\",\"id\":\"53659ab5-093e-302a-897a-038084a311fc\",\"created\":\"2015-04-12T21:20:17.000Z\",\"accessed\":\"2015-04-11\",\"file_attached\":false,\"profile_id\":\"95e10851-cdf3-31de-9f82-1ab629e601b0\",\"group_id\":\"5efe986e-978a-3009-a061-88cca2e117b0\",\"last_modified\":\"2017-03-14T14:39:39.366Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"A theoretical model was developed to investigate the relationships among subordinate–manager gender combinations, perceived leadership style, experienced frustration and optimism, organization-based self-esteem and organizational commitment. The model was tested within the context of a probabilistic structural model, a discrete Bayesian network, using cross-sectional data from a global pharmaceutical company. The Bayesian network allowed forward inference to assess the relative influence of gender combination and leadership style on the emotions, self-esteem and commitment consequence variables. Further, diagnostics from backward inference were used to assess the relative influence of variables antecedent to organizational commitment. The results showed that gender combination was independent of leadership style and had a direct impact on subordinates' levels of frustration and optimism. Female manager–female subordinate had the largest probability of optimism, while male manager teamed with a male subordinate had the largest probability of frustration. Furthermore, having a female manager teamed up with a male subordinate resulted in the lowest possibility of frustration. However, the findings show that the gender issue is not simply female managers versus male managers, but is concerned with the interaction of the subordinate–manager gender combination and leadership style in a nonlinear manner.\",\"bibtype\":\"article\",\"author\":\"McColl-Kennedy, Janet R. and Anderson, Ronald D.\",\"doi\":\"10.1016/S0148-2963(03)00112-7\",\"journal\":\"Journal of Business Research\",\"number\":\"2\",\"bibtex\":\"@article{\\n title = {Subordinate–manager gender combination and perceived leadership style influence on emotions, self-esteem and organizational commitment},\\n type = {article},\\n year = {2005},\\n keywords = {Bayesian networks,Frustration,Gender combinations,Leadership style,Optimism,Organization-based self-esteem,Organizational commitment},\\n pages = {115-125},\\n volume = {58},\\n websites = {http://www.sciencedirect.com/science/article/pii/S0148296303001127},\\n month = {2},\\n id = {53659ab5-093e-302a-897a-038084a311fc},\\n created = {2015-04-12T21:20:17.000Z},\\n accessed = {2015-04-11},\\n file_attached = {false},\\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\\n last_modified = {2017-03-14T14:39:39.366Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {A theoretical model was developed to investigate the relationships among subordinate–manager gender combinations, perceived leadership style, experienced frustration and optimism, organization-based self-esteem and organizational commitment. The model was tested within the context of a probabilistic structural model, a discrete Bayesian network, using cross-sectional data from a global pharmaceutical company. The Bayesian network allowed forward inference to assess the relative influence of gender combination and leadership style on the emotions, self-esteem and commitment consequence variables. Further, diagnostics from backward inference were used to assess the relative influence of variables antecedent to organizational commitment. The results showed that gender combination was independent of leadership style and had a direct impact on subordinates' levels of frustration and optimism. Female manager–female subordinate had the largest probability of optimism, while male manager teamed with a male subordinate had the largest probability of frustration. Furthermore, having a female manager teamed up with a male subordinate resulted in the lowest possibility of frustration. However, the findings show that the gender issue is not simply female managers versus male managers, but is concerned with the interaction of the subordinate–manager gender combination and leadership style in a nonlinear manner.},\\n bibtype = {article},\\n author = {McColl-Kennedy, Janet R. and Anderson, Ronald D.},\\n doi = {10.1016/S0148-2963(03)00112-7},\\n journal = {Journal of Business Research},\\n number = {2}\\n}\",\"author_short\":[\"McColl-Kennedy,  J., R.\",\"Anderson,  R., D.\"],\"urls\":{\"Website\":\"http://www.sciencedirect.com/science/article/pii/S0148296303001127\"},\"biburl\":\"https://bibbase.org/service/mendeley/95e10851-cdf3-31de-9f82-1ab629e601b0\",\"bibbaseid\":\"mccollkennedy-anderson-subordinatemanagergendercombinationandperceivedleadershipstyleinfluenceonemotionsselfesteemandorganizationalcommitment-2005\",\"role\":\"author\",\"keyword\":[\"Bayesian networks\",\"Frustration\",\"Gender combinations\",\"Leadership style\",\"Optimism\",\"Organization-based self-esteem\",\"Organizational commitment\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"A Bayesian network approach to examining key success factors of mobile games\",\"type\":\"article\",\"year\":\"2013\",\"keywords\":\"Bayesian networks,Mobile games,New product performance\",\"pages\":\"1353-1359\",\"volume\":\"66\",\"websites\":\"http://www.sciencedirect.com/science/article/pii/S0148296312000689\",\"month\":\"9\",\"id\":\"a9e2111d-1716-3c50-9d85-ccf8b0d5ae15\",\"created\":\"2015-04-12T21:20:17.000Z\",\"accessed\":\"2015-04-11\",\"file_attached\":false,\"profile_id\":\"95e10851-cdf3-31de-9f82-1ab629e601b0\",\"group_id\":\"5efe986e-978a-3009-a061-88cca2e117b0\",\"last_modified\":\"2017-03-14T14:39:39.366Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"As mobile game business becomes one of the most lucrative as well as fast-growing businesses, examining key success factors in this industry is of great interest. Utilizing a research method called Bayesian network, this paper models and tests interrelationship among product, marketing, consumer and competition variables. The current study surveys experts who launch many games in Korea. The three most crucial factors for successful games turn out to be targeting, awareness and consumers' willingness to pay (WTP). Many of the other factors influence the performance of games via these three factors. This paper not only investigates into the sensitivity of game performance to targeting and awareness levels but also examines the influences of product/marketing variables on consumers' first impression or willingness to pay. The findings on the roles of product or marketing factors that affect consumers' perceptions and responses, thereby competitiveness and success, will help game makers and distributors make reasonable decisions in allocating corporate resources more efficiently.\",\"bibtype\":\"article\",\"author\":\"Park, Hyun Jung and Kim, Sang-Hoon\",\"doi\":\"10.1016/j.jbusres.2012.02.036\",\"journal\":\"Journal of Business Research\",\"number\":\"9\",\"bibtex\":\"@article{\\n title = {A Bayesian network approach to examining key success factors of mobile games},\\n type = {article},\\n year = {2013},\\n keywords = {Bayesian networks,Mobile games,New product performance},\\n pages = {1353-1359},\\n volume = {66},\\n websites = {http://www.sciencedirect.com/science/article/pii/S0148296312000689},\\n month = {9},\\n id = {a9e2111d-1716-3c50-9d85-ccf8b0d5ae15},\\n created = {2015-04-12T21:20:17.000Z},\\n accessed = {2015-04-11},\\n file_attached = {false},\\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\\n last_modified = {2017-03-14T14:39:39.366Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {As mobile game business becomes one of the most lucrative as well as fast-growing businesses, examining key success factors in this industry is of great interest. Utilizing a research method called Bayesian network, this paper models and tests interrelationship among product, marketing, consumer and competition variables. The current study surveys experts who launch many games in Korea. The three most crucial factors for successful games turn out to be targeting, awareness and consumers' willingness to pay (WTP). Many of the other factors influence the performance of games via these three factors. This paper not only investigates into the sensitivity of game performance to targeting and awareness levels but also examines the influences of product/marketing variables on consumers' first impression or willingness to pay. The findings on the roles of product or marketing factors that affect consumers' perceptions and responses, thereby competitiveness and success, will help game makers and distributors make reasonable decisions in allocating corporate resources more efficiently.},\\n bibtype = {article},\\n author = {Park, Hyun Jung and Kim, Sang-Hoon},\\n doi = {10.1016/j.jbusres.2012.02.036},\\n journal = {Journal of Business Research},\\n number = {9}\\n}\",\"author_short\":[\"Park,  H., J.\",\"Kim,  S.\"],\"urls\":{\"Website\":\"http://www.sciencedirect.com/science/article/pii/S0148296312000689\"},\"biburl\":\"https://bibbase.org/service/mendeley/95e10851-cdf3-31de-9f82-1ab629e601b0\",\"bibbaseid\":\"park-kim-abayesiannetworkapproachtoexaminingkeysuccessfactorsofmobilegames-2013\",\"role\":\"author\",\"keyword\":[\"Bayesian networks\",\"Mobile games\",\"New product performance\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"General Bayesian Network Approach to Health Informatics Prediction: Emphasis on Performance Comparison\",\"type\":\"article\",\"year\":\"2013\",\"keywords\":\"General Bayesian Network,Health Informatics,Naïve Bayesian Network,Tree-Augmented NBN\",\"pages\":\"465-468\",\"volume\":\"81\",\"websites\":\"http://www.sciencedirect.com/science/article/pii/S1877042813015280\",\"month\":\"6\",\"id\":\"b5f15b13-da83-311a-892a-71473856d7e8\",\"created\":\"2015-04-16T00:39:20.000Z\",\"accessed\":\"2015-04-11\",\"file_attached\":false,\"profile_id\":\"95e10851-cdf3-31de-9f82-1ab629e601b0\",\"group_id\":\"5efe986e-978a-3009-a061-88cca2e117b0\",\"last_modified\":\"2017-03-14T14:39:39.366Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"Health Informatics is emerging as a promising research area. As average life expectancy increases due to medical technology development, health issues remain most sensitive agenda in most of countries in the world. However, heal th technology requires more intelligent mechanisms by which users’ requirement for more accurate prediction about their health problems can be fulfilled. Furthermore, such intelligent mechanisms must provide very flexible and robust procedures by which complicated but necessary decision support functions are allowed. In this sense, this paper proposes General Bayesian Network (GBN) to predict appropriate diets and restaurants that would benefit users’ health. We compared the performance of GBN with other competing techniques such as NBN (naive Bayesian Network), TAN (Tree Augmented naive Bayesian Network), and decision tree. Experiments with real health dataset revealed that GBN results outperform other techniques with statistical validity.\",\"bibtype\":\"article\",\"author\":\"Chung, Dahee and Lee, Kun Chang and Seong, Seung Chang\",\"doi\":\"10.1016/j.sbspro.2013.06.461\",\"journal\":\"Procedia - Social and Behavioral Sciences\",\"bibtex\":\"@article{\\n title = {General Bayesian Network Approach to Health Informatics Prediction: Emphasis on Performance Comparison},\\n type = {article},\\n year = {2013},\\n keywords = {General Bayesian Network,Health Informatics,Naïve Bayesian Network,Tree-Augmented NBN},\\n pages = {465-468},\\n volume = {81},\\n websites = {http://www.sciencedirect.com/science/article/pii/S1877042813015280},\\n month = {6},\\n id = {b5f15b13-da83-311a-892a-71473856d7e8},\\n created = {2015-04-16T00:39:20.000Z},\\n accessed = {2015-04-11},\\n file_attached = {false},\\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\\n last_modified = {2017-03-14T14:39:39.366Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {Health Informatics is emerging as a promising research area. As average life expectancy increases due to medical technology development, health issues remain most sensitive agenda in most of countries in the world. However, heal th technology requires more intelligent mechanisms by which users’ requirement for more accurate prediction about their health problems can be fulfilled. Furthermore, such intelligent mechanisms must provide very flexible and robust procedures by which complicated but necessary decision support functions are allowed. In this sense, this paper proposes General Bayesian Network (GBN) to predict appropriate diets and restaurants that would benefit users’ health. We compared the performance of GBN with other competing techniques such as NBN (naive Bayesian Network), TAN (Tree Augmented naive Bayesian Network), and decision tree. Experiments with real health dataset revealed that GBN results outperform other techniques with statistical validity.},\\n bibtype = {article},\\n author = {Chung, Dahee and Lee, Kun Chang and Seong, Seung Chang},\\n doi = {10.1016/j.sbspro.2013.06.461},\\n journal = {Procedia - Social and Behavioral Sciences}\\n}\",\"author_short\":[\"Chung,  D.\",\"Lee,  K., C.\",\"Seong,  S., C.\"],\"urls\":{\"Website\":\"http://www.sciencedirect.com/science/article/pii/S1877042813015280\"},\"biburl\":\"https://bibbase.org/service/mendeley/95e10851-cdf3-31de-9f82-1ab629e601b0\",\"bibbaseid\":\"chung-lee-seong-generalbayesiannetworkapproachtohealthinformaticspredictionemphasisonperformancecomparison-2013\",\"role\":\"author\",\"keyword\":[\"General Bayesian Network\",\"Health Informatics\",\"Naïve Bayesian Network\",\"Tree-Augmented NBN\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Policy making for broadband adoption and usage in Chile through machine learning\",\"type\":\"article\",\"year\":\"2013\",\"keywords\":\"Bayesian networks,Broadband penetration,Clustering analysis,Policy making\",\"pages\":\"6728-6734\",\"volume\":\"40\",\"websites\":\"http://www.sciencedirect.com/science/article/pii/S095741741300434X\",\"month\":\"12\",\"id\":\"34c461ba-f509-3416-8b22-3b6cef00324a\",\"created\":\"2015-04-16T00:39:20.000Z\",\"accessed\":\"2015-04-11\",\"file_attached\":false,\"profile_id\":\"95e10851-cdf3-31de-9f82-1ab629e601b0\",\"group_id\":\"5efe986e-978a-3009-a061-88cca2e117b0\",\"last_modified\":\"2017-03-14T14:39:39.366Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"For developing countries, such as Chile, we study the influential factors for adoption and usage of broadband services. In particular, subsidies on the broadband price are analyzed to see if this initiative has a significant effect in the broadband penetration. To carry out this study, machine learning techniques are used to identify different household profiles using the data obtained from a survey on access, use, and users of broadband Internet from Chile. Different policies are proposed for each group found, which were then evaluated empirically through Bayesian networks. Results show that an unconditional subsidy for the Internet price does not seem to be very appropriate for everyone since it is only significant for some households groups. The evaluation using Bayesian networks showed that other polices should be considered as well such as the incorporation of computers, Internet applications development, and digital literacy training.\",\"bibtype\":\"article\",\"author\":\"Ruz, Gonzalo A. and Varas, Samuel and Villena, Marcelo\",\"doi\":\"10.1016/j.eswa.2013.06.039\",\"journal\":\"Expert Systems with Applications\",\"number\":\"17\",\"bibtex\":\"@article{\\n title = {Policy making for broadband adoption and usage in Chile through machine learning},\\n type = {article},\\n year = {2013},\\n keywords = {Bayesian networks,Broadband penetration,Clustering analysis,Policy making},\\n pages = {6728-6734},\\n volume = {40},\\n websites = {http://www.sciencedirect.com/science/article/pii/S095741741300434X},\\n month = {12},\\n id = {34c461ba-f509-3416-8b22-3b6cef00324a},\\n created = {2015-04-16T00:39:20.000Z},\\n accessed = {2015-04-11},\\n file_attached = {false},\\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\\n last_modified = {2017-03-14T14:39:39.366Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {For developing countries, such as Chile, we study the influential factors for adoption and usage of broadband services. In particular, subsidies on the broadband price are analyzed to see if this initiative has a significant effect in the broadband penetration. To carry out this study, machine learning techniques are used to identify different household profiles using the data obtained from a survey on access, use, and users of broadband Internet from Chile. Different policies are proposed for each group found, which were then evaluated empirically through Bayesian networks. Results show that an unconditional subsidy for the Internet price does not seem to be very appropriate for everyone since it is only significant for some households groups. The evaluation using Bayesian networks showed that other polices should be considered as well such as the incorporation of computers, Internet applications development, and digital literacy training.},\\n bibtype = {article},\\n author = {Ruz, Gonzalo A. and Varas, Samuel and Villena, Marcelo},\\n doi = {10.1016/j.eswa.2013.06.039},\\n journal = {Expert Systems with Applications},\\n number = {17}\\n}\",\"author_short\":[\"Ruz,  G., A.\",\"Varas,  S.\",\"Villena,  M.\"],\"urls\":{\"Website\":\"http://www.sciencedirect.com/science/article/pii/S095741741300434X\"},\"biburl\":\"https://bibbase.org/service/mendeley/95e10851-cdf3-31de-9f82-1ab629e601b0\",\"bibbaseid\":\"ruz-varas-villena-policymakingforbroadbandadoptionandusageinchilethroughmachinelearning-2013\",\"role\":\"author\",\"keyword\":[\"Bayesian networks\",\"Broadband penetration\",\"Clustering analysis\",\"Policy making\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"A Bayesian analysis of the institutional and individual factors influencing faculty technology use\",\"type\":\"article\",\"year\":\"2007\",\"keywords\":\"Bayesian network,Faculty technology use,Use of technology in instruction\",\"pages\":\"184-195\",\"volume\":\"10\",\"websites\":\"http://www.sciencedirect.com/science/article/pii/S1096751607000371\",\"month\":\"1\",\"id\":\"e11c4d12-a691-3481-acf6-237f29b77223\",\"created\":\"2015-04-16T00:39:20.000Z\",\"accessed\":\"2015-04-11\",\"file_attached\":false,\"profile_id\":\"95e10851-cdf3-31de-9f82-1ab629e601b0\",\"group_id\":\"5efe986e-978a-3009-a061-88cca2e117b0\",\"last_modified\":\"2017-03-14T14:39:39.366Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"This study answered questions about which faculty come to use technology in their teaching and used a novel statistical analysis to develop a model that captures the primary factors influencing faculty technology use. It used a sample of 16,914 faculty within the 2004 National Study of Postsecondary Faculty to explore explanations for faculty technology use. A total of 41 variables were included to capture individual-level influences (both demographic and professional) and institution-level influences (e.g., level of resources, Carnegie classification, public or private control) on technology use. All of the variables were incorporated into a Bayesian network analysis that produced a model of seven variables that classified 69% of the sample accurately. Four of the seven variables point to the important influence of the faculty's instructional workload on whether and how much faculty use technology. Carnegie classification was the only institution-level variable to make it into the final model. The faculty's highest degree and teaching/research field also had direct and moderating influences on technology use. This model offers insights into who is using technology, why they do so, and how more faculty may be encouraged to acquire greater skills in using technology.\",\"bibtype\":\"article\",\"author\":\"Meyer, Katrina A. and Xu, Yonghong Jade\",\"doi\":\"10.1016/j.iheduc.2007.06.001\",\"journal\":\"The Internet and Higher Education\",\"number\":\"3\",\"bibtex\":\"@article{\\n title = {A Bayesian analysis of the institutional and individual factors influencing faculty technology use},\\n type = {article},\\n year = {2007},\\n keywords = {Bayesian network,Faculty technology use,Use of technology in instruction},\\n pages = {184-195},\\n volume = {10},\\n websites = {http://www.sciencedirect.com/science/article/pii/S1096751607000371},\\n month = {1},\\n id = {e11c4d12-a691-3481-acf6-237f29b77223},\\n created = {2015-04-16T00:39:20.000Z},\\n accessed = {2015-04-11},\\n file_attached = {false},\\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\\n last_modified = {2017-03-14T14:39:39.366Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {This study answered questions about which faculty come to use technology in their teaching and used a novel statistical analysis to develop a model that captures the primary factors influencing faculty technology use. It used a sample of 16,914 faculty within the 2004 National Study of Postsecondary Faculty to explore explanations for faculty technology use. A total of 41 variables were included to capture individual-level influences (both demographic and professional) and institution-level influences (e.g., level of resources, Carnegie classification, public or private control) on technology use. All of the variables were incorporated into a Bayesian network analysis that produced a model of seven variables that classified 69% of the sample accurately. Four of the seven variables point to the important influence of the faculty's instructional workload on whether and how much faculty use technology. Carnegie classification was the only institution-level variable to make it into the final model. The faculty's highest degree and teaching/research field also had direct and moderating influences on technology use. This model offers insights into who is using technology, why they do so, and how more faculty may be encouraged to acquire greater skills in using technology.},\\n bibtype = {article},\\n author = {Meyer, Katrina A. and Xu, Yonghong Jade},\\n doi = {10.1016/j.iheduc.2007.06.001},\\n journal = {The Internet and Higher Education},\\n number = {3}\\n}\",\"author_short\":[\"Meyer,  K., A.\",\"Xu,  Y., J.\"],\"urls\":{\"Website\":\"http://www.sciencedirect.com/science/article/pii/S1096751607000371\"},\"biburl\":\"https://bibbase.org/service/mendeley/95e10851-cdf3-31de-9f82-1ab629e601b0\",\"bibbaseid\":\"meyer-xu-abayesiananalysisoftheinstitutionalandindividualfactorsinfluencingfacultytechnologyuse-2007\",\"role\":\"author\",\"keyword\":[\"Bayesian network\",\"Faculty technology use\",\"Use of technology in instruction\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"American universities in the Middle East: A student's perspective American universities in the Middle East: A student's perspective\",\"type\":\"article\",\"year\":\"2018\",\"volume\":\"88\",\"websites\":\"https://www.cogentoa.com/article/10.1080/2331186X.2018.1447228.pdf\",\"id\":\"ad280ae7-d2a1-3d65-9ac2-c12853c556a0\",\"created\":\"2018-03-31T21:41:55.496Z\",\"accessed\":\"2018-03-31\",\"file_attached\":false,\"profile_id\":\"95e10851-cdf3-31de-9f82-1ab629e601b0\",\"group_id\":\"5efe986e-978a-3009-a061-88cca2e117b0\",\"last_modified\":\"2018-03-31T21:41:55.496Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":false,\"hidden\":false,\"private_publication\":false,\"abstract\":\"Many American universities located in the Middle East try to offer the stamp of higher quality in education that the United States provides and delivers. These institutions are doing an incredible job of providing opportunity for youths of that region to obtain an American education. However, these universities bear the stereotype that they are not applying a genuinely American-style teaching system and methods, but rather an Arabic style with an American name. The research question asks to which extent this stereotype is true. The purpose of the study is to determine if there is/are relationship(s) among the personality types of students enrolled in an American institution in an Arabic country, their background and other factors related to their choice of this institution, and their opinion about the teach-ing styles applied in this university. Linear regression is used in this study along with Bayesian networks approach to link those different variables and detect possible relationships among these variables. The data used in this paper were derived from an accessible population of 508 students during the Fall of 2011 at a US institution in Jordan. The study reveals that American education is the main reason students chose to join an American university in their Arabic country. It also revealed that American universities in the Middle East region try to offer students the benefits of an American educations while at their home country. However, these American universities bear the stereotype that they are not applying a genuinely American-style teaching system and methods, but rather an Arabic style with an American name. This article describes to which extent this stereotype is true and determines some of the reasons students in the Middle East Join American universities in their country. It looks at relationship(s) among the personality types of students, their background, and other factors related to their choice of this institution, and their opinion about the teaching styles applied in this university. It is found that American education is the main reason students chose to join an American university in their Arabic country. It also revealed that such reason is related to gender, personality type, and qualifications among this group of university students. such reason is related to gender, personality type, and qualifications among this group of university students. More than 95% of the students think that the stan-dards applied in the local American universities are less than 50% of those applied in the States.\",\"bibtype\":\"article\",\"author\":\"Smail, Linda and Silvera, Ginger\",\"doi\":\"10.1080/2331186X.2018.1447228\",\"journal\":\"Cogent Education\",\"number\":\"5\",\"bibtex\":\"@article{\\n title = {American universities in the Middle East: A student's perspective American universities in the Middle East: A student's perspective},\\n type = {article},\\n year = {2018},\\n volume = {88},\\n websites = {https://www.cogentoa.com/article/10.1080/2331186X.2018.1447228.pdf},\\n id = {ad280ae7-d2a1-3d65-9ac2-c12853c556a0},\\n created = {2018-03-31T21:41:55.496Z},\\n accessed = {2018-03-31},\\n file_attached = {false},\\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\\n last_modified = {2018-03-31T21:41:55.496Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {false},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {Many American universities located in the Middle East try to offer the stamp of higher quality in education that the United States provides and delivers. These institutions are doing an incredible job of providing opportunity for youths of that region to obtain an American education. However, these universities bear the stereotype that they are not applying a genuinely American-style teaching system and methods, but rather an Arabic style with an American name. The research question asks to which extent this stereotype is true. The purpose of the study is to determine if there is/are relationship(s) among the personality types of students enrolled in an American institution in an Arabic country, their background and other factors related to their choice of this institution, and their opinion about the teach-ing styles applied in this university. Linear regression is used in this study along with Bayesian networks approach to link those different variables and detect possible relationships among these variables. The data used in this paper were derived from an accessible population of 508 students during the Fall of 2011 at a US institution in Jordan. The study reveals that American education is the main reason students chose to join an American university in their Arabic country. It also revealed that American universities in the Middle East region try to offer students the benefits of an American educations while at their home country. However, these American universities bear the stereotype that they are not applying a genuinely American-style teaching system and methods, but rather an Arabic style with an American name. This article describes to which extent this stereotype is true and determines some of the reasons students in the Middle East Join American universities in their country. It looks at relationship(s) among the personality types of students, their background, and other factors related to their choice of this institution, and their opinion about the teaching styles applied in this university. It is found that American education is the main reason students chose to join an American university in their Arabic country. It also revealed that such reason is related to gender, personality type, and qualifications among this group of university students. such reason is related to gender, personality type, and qualifications among this group of university students. More than 95% of the students think that the stan-dards applied in the local American universities are less than 50% of those applied in the States.},\\n bibtype = {article},\\n author = {Smail, Linda and Silvera, Ginger},\\n doi = {10.1080/2331186X.2018.1447228},\\n journal = {Cogent Education},\\n number = {5}\\n}\",\"author_short\":[\"Smail,  L.\",\"Silvera,  G.\"],\"urls\":{\"Website\":\"https://www.cogentoa.com/article/10.1080/2331186X.2018.1447228.pdf\"},\"biburl\":\"https://bibbase.org/service/mendeley/95e10851-cdf3-31de-9f82-1ab629e601b0\",\"bibbaseid\":\"smail-silvera-americanuniversitiesinthemiddleeastastudentsperspectiveamericanuniversitiesinthemiddleeastastudentsperspective-2018\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Sociological Mechanisms Underlying Alcohol , Tobacco , and Gambling : A Causal Mediation Analysis\",\"type\":\"article\",\"year\":\"2018\",\"keywords\":\"alcohol consumption,directed acyclic graph,gambling,tobacco consumption\",\"pages\":\"56-63\",\"volume\":\"16\",\"id\":\"691729ab-aab1-3fbd-bd3a-0bbf2d916cea\",\"created\":\"2018-03-31T21:41:55.640Z\",\"file_attached\":false,\"profile_id\":\"95e10851-cdf3-31de-9f82-1ab629e601b0\",\"group_id\":\"5efe986e-978a-3009-a061-88cca2e117b0\",\"last_modified\":\"2018-03-31T21:41:55.640Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"bibtype\":\"article\",\"author\":\"Changpetch, Pannapa and Haughton, Dominique\",\"number\":\"January\",\"bibtex\":\"@article{\\n title = {Sociological Mechanisms Underlying Alcohol , Tobacco , and Gambling : A Causal Mediation Analysis},\\n type = {article},\\n year = {2018},\\n keywords = {alcohol consumption,directed acyclic graph,gambling,tobacco consumption},\\n pages = {56-63},\\n volume = {16},\\n id = {691729ab-aab1-3fbd-bd3a-0bbf2d916cea},\\n created = {2018-03-31T21:41:55.640Z},\\n file_attached = {false},\\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\\n last_modified = {2018-03-31T21:41:55.640Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n bibtype = {article},\\n author = {Changpetch, Pannapa and Haughton, Dominique},\\n number = {January}\\n}\",\"author_short\":[\"Changpetch,  P.\",\"Haughton,  D.\"],\"biburl\":\"https://bibbase.org/service/mendeley/95e10851-cdf3-31de-9f82-1ab629e601b0\",\"bibbaseid\":\"changpetch-haughton-sociologicalmechanismsunderlyingalcoholtobaccoandgamblingacausalmediationanalysis-2018\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"alcohol consumption\",\"directed acyclic graph\",\"gambling\",\"tobacco consumption\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"How gender and emotions bias the credit decision-making in banking firms\",\"type\":\"article\",\"year\":\"2019\",\"pages\":\"183-191\",\"volume\":\"22\",\"websites\":\"https://www.sciencedirect.com/science/article/pii/S2214635018302739#!\",\"month\":\"6\",\"publisher\":\"Elsevier\",\"day\":\"1\",\"id\":\"4cf878bb-d5bc-37e1-bd9d-14b54700e993\",\"created\":\"2019-03-26T13:11:33.265Z\",\"accessed\":\"2019-03-26\",\"file_attached\":false,\"profile_id\":\"95e10851-cdf3-31de-9f82-1ab629e601b0\",\"group_id\":\"5efe986e-978a-3009-a061-88cca2e117b0\",\"last_modified\":\"2019-03-26T13:11:33.361Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":false,\"hidden\":false,\"private_publication\":false,\"abstract\":\"This study sheds the light on the effect of the emotional bias and the gender on the credit risk management of Tunisian banks. We may expect that male and female CEO react differently to emotions and that gender-based behavior differences will affect the organizational design of the credit decision making. We opt for a Bayesian Net Work method which uses the variables to express the events or objects and analyze their behaviors to model such causal relationships. Results show that emotional bias can explain the cross-sectional heterogeneity in risk-taking behavior among banks and that managers’ gender types influences the propensity to delegate the credit decision making. Overconfident and optimist female banks’ manager are more conservative than males and they tend to centralize the credit decision-making process. Findings show also that financial literacy significatively affect the credit decision making, whereas bank size have no effect.\",\"bibtype\":\"article\",\"author\":\"Bacha, Sami and Azouzi, Mohamed Ali\",\"doi\":\"10.1016/J.JBEF.2019.03.004\",\"journal\":\"Journal of Behavioral and Experimental Finance\",\"bibtex\":\"@article{\\n title = {How gender and emotions bias the credit decision-making in banking firms},\\n type = {article},\\n year = {2019},\\n pages = {183-191},\\n volume = {22},\\n websites = {https://www.sciencedirect.com/science/article/pii/S2214635018302739#!},\\n month = {6},\\n publisher = {Elsevier},\\n day = {1},\\n id = {4cf878bb-d5bc-37e1-bd9d-14b54700e993},\\n created = {2019-03-26T13:11:33.265Z},\\n accessed = {2019-03-26},\\n file_attached = {false},\\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\\n last_modified = {2019-03-26T13:11:33.361Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {false},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {This study sheds the light on the effect of the emotional bias and the gender on the credit risk management of Tunisian banks. We may expect that male and female CEO react differently to emotions and that gender-based behavior differences will affect the organizational design of the credit decision making. We opt for a Bayesian Net Work method which uses the variables to express the events or objects and analyze their behaviors to model such causal relationships. Results show that emotional bias can explain the cross-sectional heterogeneity in risk-taking behavior among banks and that managers’ gender types influences the propensity to delegate the credit decision making. Overconfident and optimist female banks’ manager are more conservative than males and they tend to centralize the credit decision-making process. Findings show also that financial literacy significatively affect the credit decision making, whereas bank size have no effect.},\\n bibtype = {article},\\n author = {Bacha, Sami and Azouzi, Mohamed Ali},\\n doi = {10.1016/J.JBEF.2019.03.004},\\n journal = {Journal of Behavioral and Experimental Finance}\\n}\",\"author_short\":[\"Bacha,  S.\",\"Azouzi,  M., A.\"],\"urls\":{\"Website\":\"https://www.sciencedirect.com/science/article/pii/S2214635018302739#!\"},\"biburl\":\"https://bibbase.org/service/mendeley/95e10851-cdf3-31de-9f82-1ab629e601b0\",\"bibbaseid\":\"bacha-azouzi-howgenderandemotionsbiasthecreditdecisionmakinginbankingfirms-2019\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Roofing tiles or slates ? A network analysis of factors influencing architect choice\",\"type\":\"article\",\"year\":\"2019\",\"volume\":\"4\",\"id\":\"90d3c82b-e3d7-3a4a-b3ef-a49ae1f89f64\",\"created\":\"2019-09-30T14:07:59.932Z\",\"file_attached\":false,\"profile_id\":\"95e10851-cdf3-31de-9f82-1ab629e601b0\",\"group_id\":\"5efe986e-978a-3009-a061-88cca2e117b0\",\"last_modified\":\"2019-09-30T14:07:59.932Z\",\"read\":false,\"starred\":false,\"authored\":false,\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"bibtype\":\"article\",\"author\":\"Gerassis, Saki and Saavedra, Ángeles and García, Julio F and Taboada, Javier and López, Santiago\",\"bibtex\":\"@article{\\n title = {Roofing tiles or slates ? A network analysis of factors influencing architect choice},\\n type = {article},\\n year = {2019},\\n volume = {4},\\n id = {90d3c82b-e3d7-3a4a-b3ef-a49ae1f89f64},\\n created = {2019-09-30T14:07:59.932Z},\\n file_attached = {false},\\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\\n last_modified = {2019-09-30T14:07:59.932Z},\\n read = {false},\\n starred = {false},\\n authored = {false},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n bibtype = {article},\\n author = {Gerassis, Saki and Saavedra, Ángeles and García, Julio F and Taboada, Javier and López, Santiago}\\n}\",\"author_short\":[\"Gerassis,  S.\",\"Saavedra,  Á.\",\"García,  J., F.\",\"Taboada,  J.\",\"López,  S.\"],\"biburl\":\"https://bibbase.org/service/mendeley/95e10851-cdf3-31de-9f82-1ab629e601b0\",\"bibbaseid\":\"gerassis-saavedra-garca-taboada-lpez-roofingtilesorslatesanetworkanalysisoffactorsinfluencingarchitectchoice-2019\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"}],\n      metadata: {\"authorlinks\":{}},\n      ownerID: undefined\n    };\n  </script>\n\n  <script type=\"text/javascript\">\n  var site$;\n  if (typeof $ != 'undefined') {\n    console.log('existing jquery: storing and then restoring');\n    site$ = $;\n    $ = null;\n  }\n  </script>\n\n  <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/2.2.4/jquery.min.js\">\n  </script>\n  <script type=\"text/javascript\">\n  if (site$) {\n    console.log('existing jquery: avoiding conflict and restoring');\n    bb$ = $.noConflict(true);\n    $ = site$;\n  } else {\n    bb$ = $;\n  }\n  </script>\n\n  <script src=\"//bibbase.org/js/bibbase.min.js\"\n          type=\"text/javascript\">\n  </script>\n\n  <script type=\"text/javascript\"\n          src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML\">\n  </script>\n  <script type=\"text/x-mathjax-config\">\n    MathJax.Hub.Config({tex2jax: {inlineMath: [['$','$'], ['\\\\(','\\\\)']]},\n                        skipTags: [\"body\"],\n                        processClass: \"bibbase_paper\"});\n  </script>\n\n  <style>\n  @media print {\n    .dontprint {\n        display: none !important;\n    }\n\n  .bibbase_group {\n    background-color: #E0E0E0;\n    font-style: italic;\n    font-size: larger;\n    text-shadow: 0px 0px 3px #FFFFFF;\n    border-radius: 4px 4px 4px 4px;\n    -moz-border-radius: 4px 4px 4px 4px;\n    -webkit-border-radius: 4px;\n    padding: 5px 40px 5px;\n    margin-top: 10px;\n    margin-bottom: 5px;\n    cursor: pointer;\n  }\n\n  .bibbase_paper {\n    margin-bottom: 5px;\n  }\n\n  }\n  </style>\n\n  \n  <div style=\"float: right; margin-right: 10px; margin-top: 10px; text-align: right; font-size: 12px\">\n    generated by\n    <a href=\"//bibbase.org\"\n       onclick=\"trackOutboundLink('bibbase', 'logo clicked', window.location.href, '//bibbase.org'); return false;\">\n      <img src=\"//bibbase.org/img/logo.svg\"\n           style=\"vertical-align: middle; margin-left: 3px; height: 16px;\"/\n           alt=\"bibbase.org\"\n           title=\"BibBase – The easiest way to maintain your publications page.\"\n        ></a>\n    \n  </div>\n  \n\n  <div id=\"bibbase_header\" class=\"dontprint\" style=\"\">\n\n    <ul class=\"nav nav-pills\" style=\"margin: 0px;\">\n\n      <li class=\"dropdown\" id=\"groupby_dropdown\">\n      <a class=\"dropdown-toggle\"\n         data-toggle=\"dropdown\"\n         href=\"#\">\n          Group by\n          <b class=\"caret\"></b>\n      </a>\n      <ul class=\"dropdown-menu\">\n        <li class=\"groupby year\"><a onclick=\"groupby('year')\">\n            Year</a>\n        </li>\n        <li class=\"groupby author\"><a onclick=\"groupby('author_short')\">\n            Author</a>\n        </li>\n        <li class=\"groupby type\"><a onclick=\"groupby('type')\">\n            Type</a>\n        </li>\n        <li class=\"groupby keyword\"><a onclick=\"groupby('keyword')\">\n            Keyword</a>\n        </li>\n        <li class=\"groupby downloads\"><a onclick=\"groupby('downloads')\">\n            Downloads</a>\n        </li>\n      </ul>\n      </li>\n\n\n      <li class=\"dropdown\" id=\"menu_dropdown\">\n      <a class=\"dropdown-toggle\"\n         data-toggle=\"dropdown\"\n         href=\"#\" alt=\"controls\">\n          <i class=\"fa fa-reorder\" alt=\"controls\"></i>\n          <b class=\"caret\"></b>\n      </a>\n      <ul class=\"dropdown-menu\">\n        <li>\n          <a onclick=\"toggleAll()\">\n            <i class=\"fa fa-chevron-down fa-fw\"></i> Expand/Collapse All\n          </a>\n        </li>\n        <li>\n          <a download=\"all.bib\" href=\"data:text/bibtex;base64,@article{
 title = {Recovery or decline of the northwestern Black Sea: A societal choice revealed by socio-ecological modelling},
 type = {article},
 year = {2009},
 keywords = {Bayesian belief network (BBN),Black Sea,DPSIR,Eutrophication,Marine socio-ecological systems},
 pages = {2927-2939},
 volume = {220},
 websites = {http://www.sciencedirect.com/science/article/pii/S0304380008004420},
 month = {11},
 id = {c6af8d58-b5cc-38e3-8741-24cb7f1311d4},
 created = {2015-04-12T19:14:39.000Z},
 accessed = {2015-04-11},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {5efe986e-978a-3009-a061-88cca2e117b0},
 last_modified = {2017-03-14T14:39:39.366Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {During recent decades anthropogenic activities have dramatically impacted the Black Sea ecosystem. High levels of riverine nutrient input during the 1970s and 1980s caused eutrophic conditions including intense algal blooms resulting in hypoxia and the subsequent collapse of benthic habitats on the northwestern shelf. Intense fishing pressure also depleted stocks of many apex predators, contributing to an increase in planktivorous fish that are now the focus of fishing efforts. Additionally, the Black Sea's ecosystem changed even further with the introduction of exotic species. Economic collapse of the surrounding socialist republics in the early 1990s resulted in decreased nutrient loading which has allowed the Black Sea ecosystem to start to recover, but under rapidly changing economic and political conditions, future recovery is uncertain. In this study we use a multidisciplinary approach to integrate information from socio-economic and ecological systems to model the effects of future development scenarios on the marine environment of the northwestern Black Sea shelf. The Driver–Pressure–State-Impact-Response framework was used to construct conceptual models, explicitly mapping impacts of socio-economic Drivers on the marine ecosystem. Bayesian belief networks (BBNs), a stochastic modelling technique, were used to quantify these causal relationships, operationalise models and assess the effects of alternative development paths on the Black Sea ecosystem. BBNs use probabilistic dependencies as a common metric, allowing the integration of quantitative and qualitative information. Under the Baseline Scenario, recovery of the Black Sea appears tenuous as the exploitation of environmental resources (agriculture, fishing and shipping) increases with continued economic development of post-Soviet countries. This results in the loss of wetlands through drainage and reclamation. Water transparency decreases as phytoplankton bloom and this deterioration in water quality leads to the degradation of coastal plant communities (Cystoseira, seagrass) and also Phyllophora habitat on the shelf. Decomposition of benthic plants results in hypoxia killing flora and fauna associated with these habitats. Ecological pressure from these factors along with constant levels of fishing activity results in target stocks remaining depleted. Of the four Alternative Scenarios, two show improvements on the Baseline ecosystem condition, with improved waste water treatment and reduced fishing pressure, while the other two show a worsening, due to increased natural resource exploitation leading to rapid reversal of any recent ecosystem recovery. From this we conclude that variations in economic policy have significant consequences for the health of the Black Sea, and ecosystem recovery is directly linked to social–economic choices.},
 bibtype = {article},
 author = {Langmead, Olivia and McQuatters-Gollop, Abigail and Mee, Laurence D. and Friedrich, Jana and Gilbert, Alison J. and Gomoiu, Marian-Traian and Jackson, Emma L. and Knudsen, Ståle and Minicheva, Galina and Todorova, Valentina},
 doi = {10.1016/j.ecolmodel.2008.09.011},
 journal = {Ecological Modelling},
 number = {21}
}

@article{
 title = {Predicting a ‘tree change’ in Australia's tropical savannas: Combining different types of models to understand complex ecosystem behaviour},
 type = {article},
 year = {2010},
 keywords = {Bayesian networks,Fire management,Flames,Grazing management,Probabilistic modelling,Simulation modelling,Tree density,Woody thickening},
 pages = {2565-2575},
 volume = {221},
 websites = {http://www.sciencedirect.com/science/article/pii/S0304380010003777},
 month = {10},
 id = {1631db95-a2c7-3a43-a51f-e7457cf86c6f},
 created = {2015-04-12T19:14:40.000Z},
 accessed = {2015-04-11},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {5efe986e-978a-3009-a061-88cca2e117b0},
 last_modified = {2017-03-14T14:39:39.366Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {In this study, key ecological modelling limitations of a process-based simulation model and a Bayesian network were reduced by combining the two approaches. We demonstrate the combined modelling approach with a case study investigating increases in woody vegetation density in northern Australia's tropical savannas. We found that by utilising the strengths of a simulation model and a Bayesian network we could both forecast future change in woody vegetation density and diagnose the reasons for current vegetation states. The local conditions of climate, soil characteristics and the starting population of trees were found to be more important in explaining the likelihood of change in woody vegetation density compared to management practices such as grazing pressure and fire regimes. We conclude that combining the strengths of a process and BN model allowed us to produce a simple model that utilised the ability of the process model to simulate ecosystem processes in detail and over long time periods, and the ability of the BN to capture uncertainty in ecosystem response and to conduct scenario, sensitivity and diagnostic analysis. The overall result was a model that has the potential to provide land managers with a better understanding of the behaviour of a complex ecosystem than simply utilising either modelling approach in isolation.},
 bibtype = {article},
 author = {Liedloff, Adam C. and Smith, Carl S.},
 doi = {10.1016/j.ecolmodel.2010.07.022},
 journal = {Ecological Modelling},
 number = {21}
}

@article{
 title = {Identifying associations in Escherichia coli antimicrobial resistance patterns using additive Bayesian networks.},
 type = {article},
 year = {2013},
 keywords = {Animals,Anti-Bacterial Agents,Anti-Bacterial Agents: pharmacology,Bayes Theorem,Canada,Drug Resistance, Multiple, Bacterial,Escherichia coli,Escherichia coli Infections,Escherichia coli Infections: epidemiology,Escherichia coli Infections: microbiology,Escherichia coli Infections: veterinary,Escherichia coli: drug effects,Feces,Feces: microbiology,Multivariate Analysis,Risk Factors,Seasons,Swine,Swine Diseases,Swine Diseases: epidemiology,Swine Diseases: microbiology},
 pages = {64-75},
 volume = {110},
 websites = {http://www.sciencedirect.com/science/article/pii/S0167587713000366},
 month = {5},
 day = {15},
 id = {5d19bdcc-c46f-3d67-a7e3-8fa6e18f2019},
 created = {2015-04-12T19:47:10.000Z},
 accessed = {2015-04-11},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {5efe986e-978a-3009-a061-88cca2e117b0},
 last_modified = {2017-03-14T14:39:39.366Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {While the genesis of antimicrobial resistance (AMR) in animal production is a high profile topic in the media and the scientific community, it is still not well understood. The epidemiology of AMR is complex. This complexity is demonstrated by extensive biological and evolutionary mechanisms which are potentially impacted by farm management and husbandry practices - the risk factors. Many parts of this system have yet to be fully described. Notably, the occurrence of multiple resistance patterns is the rule rather than exception - the multivariate problem. A first essential step in the development of any comprehensive risk factor analysis - whose goal is the prevention or reduction of AMR - is to describe those associations between different patterns of resistance which are systematic. That is, have sufficient statistical support for these patterns to be considered robust features of the underlying epidemiological system, and whose presence must therefore be incorporated into any risk factor analysis of AMR for it to be meaningful with respect to the farm environment. Presented here is a case study that seeks to identify systematic associations between patterns of resistance to 13 different antimicrobials in Escherichia coli isolates obtained from composite finisher (>80 kg) pig faecal samples obtained from Canada's five major pork producing provinces. The use of a Bayesian network analysis approach allowed us to identify many systematic associations between individual antimicrobial resistances. Sixteen of these resistances are corroborated with existing literature. These associations are distributed between several important classes of antimicrobials including the β-lactams, folate biosynthesis inhibitors, tetracyclines, aminoglycosides and quinolones. This study presents an exciting first step towards the larger and far more ambitious goal of developing generic and holistic risk factor analyses for on-farm occurrence of AMR. Analyses of this nature would combine multivariate response variables (joint patterns of resistance) with multi-factorial causal factors from within the livestock production environment thereby permitting a more complete understanding of the epidemiology of antimicrobial resistance.},
 bibtype = {article},
 author = {Ludwig, Antoinette and Berthiaume, Philippe and Boerlin, Patrick and Gow, Sheryl and Léger, David and Lewis, Fraser I},
 doi = {10.1016/j.prevetmed.2013.02.005},
 journal = {Preventive veterinary medicine},
 number = {1}
}

@article{
 title = {Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement},
 type = {article},
 year = {2001},
 keywords = {Bayesian belief networks,Bayesian statistics,Columbia River,Fish modeling,Interior Columbia basin,Population viability,Wildlife modeling},
 pages = {29-42},
 volume = {153},
 websites = {http://www.sciencedirect.com/science/article/pii/S0378112701004522},
 month = {10},
 id = {b78c14c9-7395-3149-9c84-f02c9314edae},
 created = {2015-04-12T19:47:10.000Z},
 accessed = {2015-04-11},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {5efe986e-978a-3009-a061-88cca2e117b0},
 last_modified = {2017-03-14T14:39:39.366Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {We developed procedures for using Bayesian belief networks (BBNs) to model habitat and population viability of selected at-risk fish and wildlife species. The BBN models represent the ecological causal web of key environmental correlates (KECs) that most influence habitat capability, potential population response for each species, and influence of habitat planning alternatives. BBN models represent site-specific KECs, habitat capability at the subwatershed level, and pattern of habitat capability across all subwatersheds. BBNs use Dirichlet prior probability distributions and standard Bayesian updating of posterior probabilities. We derived estimates of prior and conditional probabilities from a mix of empirical data and expert judgment, mostly the latter. Sensitivity analyses identified planning decisions and KECs that most influence species outcomes, and can help prioritize monitoring activities. BBN models, however, substitute for neither field studies nor empirical, quantitative population viability analyses of population demography and genetics.},
 bibtype = {article},
 author = {Marcot, Bruce G and Holthausen, Richard S and Raphael, Martin G and Rowland, Mary M and Wisdom, Michael J},
 doi = {10.1016/S0378-1127(01)00452-2},
 journal = {Forest Ecology and Management},
 number = {1-3}
}

@article{
 title = {Analysis of topographic and vegetative factors with data mining for landslide verification},
 type = {article},
 year = {2013},
 keywords = {Bayesian Network,Data mining,Decision Tree,Landslide,Slope stability,Vegetation index},
 pages = {669-677},
 volume = {61},
 websites = {http://www.sciencedirect.com/science/article/pii/S0925857413003224},
 month = {12},
 id = {417a18c7-c2cc-369e-a07c-e186fe93af21},
 created = {2015-04-12T20:17:33.000Z},
 accessed = {2015-03-03},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {5efe986e-978a-3009-a061-88cca2e117b0},
 last_modified = {2017-03-14T14:39:39.366Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {This study employed data mining techniques to analyze topographic and vegetative factors for the verification of landslides induced by heavy rainfall in a regional scale in Taiwan. Decision Tree and Bayesian Network data mining algorithms were implemented to extract knowledge from supplied landslide factors. Eleven topographic and vegetative factors were considered for landslide analysis. In addition to individual factors derived from digital terrain model and satellite images, combined factors were also generated from data fusion. Landslide data of the study site collected between 2004 and 2007 were used to generate rules with data mining and to construct models of landslide factors. The constructed landslide factor models were used to verify landslide detections and to predict potential landslides. The prediction results of landslide events in 2008 were then verified against field-collected ground truth to evaluate the effectiveness of the models. In this study, topographic and vegetative parameters have been proven to be significant factors for landslides in the study site. Preliminary experimental results also indicate that the constructed models with data mining can achieve high accuracy in landslide detection. However, when directly applying the models for the prediction of potential landslides, the results were not reliable due to spatial uncertainties of the data. To address this issue, a statistics-based mechanism was developed to reduce data uncertainties. The results demonstrate that after reducing data uncertainties, the models can produce more reliable results of landslide prediction in the study site, as the kappa coefficients in the prediction were substantially increased by 29% using Decision Tree and by 20% using Bayesian Network algorithms, respectively.},
 bibtype = {article},
 author = {Tsai, Fuan and Lai, Jhe-Syuan and Chen, Walter W. and Lin, Tang-Huang},
 doi = {10.1016/j.ecoleng.2013.07.070},
 journal = {Ecological Engineering}
}

@article{
 title = {Use of a Bayesian network model to identify factors associated with the presence of the tick Ornithodoros erraticus on pig farms in southern Portugal.},
 type = {article},
 year = {2013},
 keywords = {Animal Husbandry,Animal Husbandry: methods,Animals,Bayes Theorem,Environment,Models, Biological,Ornithodoros,Ornithodoros: physiology,Portugal,Swine,Swine Diseases,Swine Diseases: epidemiology,Swine Diseases: parasitology,Tick Infestations,Tick Infestations: epidemiology,Tick Infestations: parasitology,Tick Infestations: veterinary},
 pages = {45-53},
 volume = {110},
 websites = {http://www.sciencedirect.com/science/article/pii/S0167587713000378},
 month = {5},
 day = {15},
 id = {d1b9c43a-b2ae-3bb5-91f3-5d712d733270},
 created = {2015-04-12T20:17:34.000Z},
 accessed = {2015-03-12},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {5efe986e-978a-3009-a061-88cca2e117b0},
 last_modified = {2017-03-14T14:39:39.366Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {The soft tick Ornithodoros erraticus occurs on pig farms in southern Portugal and Spain and transmits several important pathogens of humans and livestock. Its distribution is patchy and the determinants of its distribution are uncertain. Here, we use a Bayesian network model to explore possible associations between climate, farm management and the presence of O. erraticus. The resulting network confirms previous suggestions that the presence of O. erraticus is more likely in traditionally constructed pig housing, and indicates that carbon dioxide traps are highly effective for the detection of O. erraticus. Our approach also picked up several other intuitively reasonable relationships, including that traditional housing was more likely to be in poor condition and more likely to be out of use, and that buildings which were in use to house pigs were also less likely to be derelict. Neither temperature nor precipitation had any direct effect on the probability of the presence of O. erraticus, suggesting that the distribution of the species is primarily driven by farm management factors.},
 bibtype = {article},
 author = {Wilson, Anthony J and Ribeiro, Rita and Boinas, Fernando},
 doi = {10.1016/j.prevetmed.2013.02.006},
 journal = {Preventive veterinary medicine},
 number = {1}
}

@article{
 title = {Using Bayesian networks to explore the role of weather as a potential determinant of disease in pigs.},
 type = {article},
 year = {2013},
 keywords = {Animals,Bayes Theorem,Climate,Great Britain,Models, Statistical,Regression Analysis,Risk Factors,Seasons,Swine,Swine Diseases,Swine Diseases: epidemiology,Swine Diseases: etiology,Weather},
 pages = {54-63},
 volume = {110},
 websites = {http://www.sciencedirect.com/science/article/pii/S0167587713000329},
 month = {5},
 day = {15},
 id = {7de5df59-033b-3aa7-ba6a-05b605403017},
 created = {2015-04-12T20:17:35.000Z},
 accessed = {2015-04-11},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {5efe986e-978a-3009-a061-88cca2e117b0},
 last_modified = {2017-03-14T14:39:39.366Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {Many pathogens are sensitive to climatic variables and this is reflected in their seasonality of occurrence and transmission. The identification of environmental conditions that influence disease occurrence can be subtle, particularly considering their complex interdependencies in addition to those relationships between climate and disease. Statistical treatment of environmental variables is often dependent on their correlations and thus descriptions of climate are often restricted to means rather than accounting for the more precise aspects (including mean, maximum, minimum, variability). Here we utilize a novel multivariate statistical modelling approach, additive Bayesian network (ABN) analyses, to identify the inter-linkages of different weather variables to better capture short-term environmental conditions that are important drivers of disease. We present a case study that explores weather as a driver of disease in livestock systems. We utilize quality assurance health scheme data on ten major diseases of pigs from 875 finishing pig herds distributed across the United Kingdom over 7 years (2005-2011). We examine the relationship between the occurrence of these pathologies and contemporary weather conditions measured by local meteorological stations. All ten pathologies were associated with at least 2 other pathologies (maximum 6). Three pathologies were associated directly with temperature variables: papular dermatitis, enzootic pneumonia and milk spots. Latitude was strongly associated with multiple pathologies, though associations with longitude were eliminated when clustering for repeated observations of farms was assessed. The identification of relationships between climatic factors and different (potentially related) diseases offers a more comprehensive insight into the complex role of seasonal drivers and herd health status than traditional analytical methods.},
 bibtype = {article},
 author = {McCormick, B J J and Sanchez-Vazquez, M J and Lewis, F I},
 doi = {10.1016/j.prevetmed.2013.02.001},
 journal = {Preventive veterinary medicine},
 number = {1}
}

@article{
 title = {Applying Bayesian Belief Network approach to customer churn analysis: A case study on the telecom industry of Turkey},
 type = {article},
 year = {2011},
 keywords = {Bayesian Belief Networks,Churn analysis,Telecom},
 pages = {7151-7157},
 volume = {38},
 websites = {http://www.sciencedirect.com/science/article/pii/S0957417410014089},
 month = {6},
 id = {99a0b43a-9b8b-389f-b0b2-eb18127bc767},
 created = {2015-04-12T21:20:17.000Z},
 accessed = {2015-04-11},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {5efe986e-978a-3009-a061-88cca2e117b0},
 last_modified = {2017-03-14T14:39:39.366Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {In telecommunication industry, for many organizations, it is really important to take place in the market. As competition increases between companies, customer churn becomes a great issue to deal with by the telecommunication providers. For an effective churn management, companies try to retain their existing customers, instead of acquiring new ones. Previous researches focus on predicting the customers with a propensity to churn in telecommunication industry. In this study, a model is constructed by Bayesian Belief Network to identify the behaviors of customers with a propensity to churn. The data used are collected from one of the telecommunication providers in Turkey. First, as only discrete variables are used in Bayesian Belief Networks, CHAID (Chi-squared Automatic Interaction Detector) algorithm is applied to discretize continuous variables. Then, a causal map as a base of Bayesian Belief Network is brought out via the results of correlation analysis, multicollinearity test and experts’ opinions. According to the results of Bayesian Belief Network, average minutes of calls, average billing amount, the frequency of calls to people from different providers and tariff type are the most important variables that explain customer churn. At the end of the study, three different scenarios that examine the characteristics of the churners are analyzed and promotions are suggested to reduce the churn rate.},
 bibtype = {article},
 author = {Kisioglu, Pınar and Topcu, Y. Ilker},
 doi = {10.1016/j.eswa.2010.12.045},
 journal = {Expert Systems with Applications},
 number = {6}
}

@article{
 title = {Bayesian belief network for box-office performance: A case study on Korean movies},
 type = {article},
 year = {2009},
 keywords = {Bayesian belief network,Box-office performance,Casual belief network,Domain knowledge},
 pages = {280-291},
 volume = {36},
 websites = {http://www.sciencedirect.com/science/article/pii/S0957417407004228},
 month = {1},
 id = {2e256b9d-0a13-3be0-a073-4de50d4176a8},
 created = {2015-04-12T21:20:17.000Z},
 accessed = {2015-04-11},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {5efe986e-978a-3009-a061-88cca2e117b0},
 last_modified = {2017-03-14T14:39:39.366Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {Due to their definition as experience goods with short product lifetime cycles, it is difficult to forecast the demand for motion pictures. Nevertheless, producers and distributors of new movies need to forecast box-office results in an attempt to reduce the uncertainty in the motion picture business. Previous research demonstrated the ability of certain movie attributes such as early box-office data and release season to forecast box-office revenues. However, no previous research has focused on the causal relationship among various movie attributes, which have the potential to increase the accuracy of box-office predictions. In this paper a Bayesian belief network (BBN), which is known as a causal belief network, is constructed to investigate the causal relationship among various movie attributes in the performance prediction of box-office success. Subsequently, sensitivity analysis is conducted to determine those attributes most critically related to box-office performance. Finally, the probability of a movie’s box-office success is computed using the BBN model based on the domain knowledge from the value chain of theoretical motion pictures. The results confirm the improved forecasting accuracy of the BBN model compared to artificial neural network and decision tree.},
 bibtype = {article},
 author = {Lee, Kyung Jae and Chang, Woojin},
 doi = {10.1016/j.eswa.2007.09.042},
 journal = {Expert Systems with Applications},
 number = {1}
}

@article{
 title = {Subordinate–manager gender combination and perceived leadership style influence on emotions, self-esteem and organizational commitment},
 type = {article},
 year = {2005},
 keywords = {Bayesian networks,Frustration,Gender combinations,Leadership style,Optimism,Organization-based self-esteem,Organizational commitment},
 pages = {115-125},
 volume = {58},
 websites = {http://www.sciencedirect.com/science/article/pii/S0148296303001127},
 month = {2},
 id = {53659ab5-093e-302a-897a-038084a311fc},
 created = {2015-04-12T21:20:17.000Z},
 accessed = {2015-04-11},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {5efe986e-978a-3009-a061-88cca2e117b0},
 last_modified = {2017-03-14T14:39:39.366Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {A theoretical model was developed to investigate the relationships among subordinate–manager gender combinations, perceived leadership style, experienced frustration and optimism, organization-based self-esteem and organizational commitment. The model was tested within the context of a probabilistic structural model, a discrete Bayesian network, using cross-sectional data from a global pharmaceutical company. The Bayesian network allowed forward inference to assess the relative influence of gender combination and leadership style on the emotions, self-esteem and commitment consequence variables. Further, diagnostics from backward inference were used to assess the relative influence of variables antecedent to organizational commitment. The results showed that gender combination was independent of leadership style and had a direct impact on subordinates' levels of frustration and optimism. Female manager–female subordinate had the largest probability of optimism, while male manager teamed with a male subordinate had the largest probability of frustration. Furthermore, having a female manager teamed up with a male subordinate resulted in the lowest possibility of frustration. However, the findings show that the gender issue is not simply female managers versus male managers, but is concerned with the interaction of the subordinate–manager gender combination and leadership style in a nonlinear manner.},
 bibtype = {article},
 author = {McColl-Kennedy, Janet R. and Anderson, Ronald D.},
 doi = {10.1016/S0148-2963(03)00112-7},
 journal = {Journal of Business Research},
 number = {2}
}

@article{
 title = {A Bayesian network approach to examining key success factors of mobile games},
 type = {article},
 year = {2013},
 keywords = {Bayesian networks,Mobile games,New product performance},
 pages = {1353-1359},
 volume = {66},
 websites = {http://www.sciencedirect.com/science/article/pii/S0148296312000689},
 month = {9},
 id = {a9e2111d-1716-3c50-9d85-ccf8b0d5ae15},
 created = {2015-04-12T21:20:17.000Z},
 accessed = {2015-04-11},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {5efe986e-978a-3009-a061-88cca2e117b0},
 last_modified = {2017-03-14T14:39:39.366Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {As mobile game business becomes one of the most lucrative as well as fast-growing businesses, examining key success factors in this industry is of great interest. Utilizing a research method called Bayesian network, this paper models and tests interrelationship among product, marketing, consumer and competition variables. The current study surveys experts who launch many games in Korea. The three most crucial factors for successful games turn out to be targeting, awareness and consumers' willingness to pay (WTP). Many of the other factors influence the performance of games via these three factors. This paper not only investigates into the sensitivity of game performance to targeting and awareness levels but also examines the influences of product/marketing variables on consumers' first impression or willingness to pay. The findings on the roles of product or marketing factors that affect consumers' perceptions and responses, thereby competitiveness and success, will help game makers and distributors make reasonable decisions in allocating corporate resources more efficiently.},
 bibtype = {article},
 author = {Park, Hyun Jung and Kim, Sang-Hoon},
 doi = {10.1016/j.jbusres.2012.02.036},
 journal = {Journal of Business Research},
 number = {9}
}

@article{
 title = {General Bayesian Network Approach to Health Informatics Prediction: Emphasis on Performance Comparison},
 type = {article},
 year = {2013},
 keywords = {General Bayesian Network,Health Informatics,Naïve Bayesian Network,Tree-Augmented NBN},
 pages = {465-468},
 volume = {81},
 websites = {http://www.sciencedirect.com/science/article/pii/S1877042813015280},
 month = {6},
 id = {b5f15b13-da83-311a-892a-71473856d7e8},
 created = {2015-04-16T00:39:20.000Z},
 accessed = {2015-04-11},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {5efe986e-978a-3009-a061-88cca2e117b0},
 last_modified = {2017-03-14T14:39:39.366Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {Health Informatics is emerging as a promising research area. As average life expectancy increases due to medical technology development, health issues remain most sensitive agenda in most of countries in the world. However, heal th technology requires more intelligent mechanisms by which users’ requirement for more accurate prediction about their health problems can be fulfilled. Furthermore, such intelligent mechanisms must provide very flexible and robust procedures by which complicated but necessary decision support functions are allowed. In this sense, this paper proposes General Bayesian Network (GBN) to predict appropriate diets and restaurants that would benefit users’ health. We compared the performance of GBN with other competing techniques such as NBN (naive Bayesian Network), TAN (Tree Augmented naive Bayesian Network), and decision tree. Experiments with real health dataset revealed that GBN results outperform other techniques with statistical validity.},
 bibtype = {article},
 author = {Chung, Dahee and Lee, Kun Chang and Seong, Seung Chang},
 doi = {10.1016/j.sbspro.2013.06.461},
 journal = {Procedia - Social and Behavioral Sciences}
}

@article{
 title = {Policy making for broadband adoption and usage in Chile through machine learning},
 type = {article},
 year = {2013},
 keywords = {Bayesian networks,Broadband penetration,Clustering analysis,Policy making},
 pages = {6728-6734},
 volume = {40},
 websites = {http://www.sciencedirect.com/science/article/pii/S095741741300434X},
 month = {12},
 id = {34c461ba-f509-3416-8b22-3b6cef00324a},
 created = {2015-04-16T00:39:20.000Z},
 accessed = {2015-04-11},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {5efe986e-978a-3009-a061-88cca2e117b0},
 last_modified = {2017-03-14T14:39:39.366Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {For developing countries, such as Chile, we study the influential factors for adoption and usage of broadband services. In particular, subsidies on the broadband price are analyzed to see if this initiative has a significant effect in the broadband penetration. To carry out this study, machine learning techniques are used to identify different household profiles using the data obtained from a survey on access, use, and users of broadband Internet from Chile. Different policies are proposed for each group found, which were then evaluated empirically through Bayesian networks. Results show that an unconditional subsidy for the Internet price does not seem to be very appropriate for everyone since it is only significant for some households groups. The evaluation using Bayesian networks showed that other polices should be considered as well such as the incorporation of computers, Internet applications development, and digital literacy training.},
 bibtype = {article},
 author = {Ruz, Gonzalo A. and Varas, Samuel and Villena, Marcelo},
 doi = {10.1016/j.eswa.2013.06.039},
 journal = {Expert Systems with Applications},
 number = {17}
}

@article{
 title = {A Bayesian analysis of the institutional and individual factors influencing faculty technology use},
 type = {article},
 year = {2007},
 keywords = {Bayesian network,Faculty technology use,Use of technology in instruction},
 pages = {184-195},
 volume = {10},
 websites = {http://www.sciencedirect.com/science/article/pii/S1096751607000371},
 month = {1},
 id = {e11c4d12-a691-3481-acf6-237f29b77223},
 created = {2015-04-16T00:39:20.000Z},
 accessed = {2015-04-11},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {5efe986e-978a-3009-a061-88cca2e117b0},
 last_modified = {2017-03-14T14:39:39.366Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {This study answered questions about which faculty come to use technology in their teaching and used a novel statistical analysis to develop a model that captures the primary factors influencing faculty technology use. It used a sample of 16,914 faculty within the 2004 National Study of Postsecondary Faculty to explore explanations for faculty technology use. A total of 41 variables were included to capture individual-level influences (both demographic and professional) and institution-level influences (e.g., level of resources, Carnegie classification, public or private control) on technology use. All of the variables were incorporated into a Bayesian network analysis that produced a model of seven variables that classified 69% of the sample accurately. Four of the seven variables point to the important influence of the faculty's instructional workload on whether and how much faculty use technology. Carnegie classification was the only institution-level variable to make it into the final model. The faculty's highest degree and teaching/research field also had direct and moderating influences on technology use. This model offers insights into who is using technology, why they do so, and how more faculty may be encouraged to acquire greater skills in using technology.},
 bibtype = {article},
 author = {Meyer, Katrina A. and Xu, Yonghong Jade},
 doi = {10.1016/j.iheduc.2007.06.001},
 journal = {The Internet and Higher Education},
 number = {3}
}

@article{
 title = {American universities in the Middle East: A student's perspective American universities in the Middle East: A student's perspective},
 type = {article},
 year = {2018},
 volume = {88},
 websites = {https://www.cogentoa.com/article/10.1080/2331186X.2018.1447228.pdf},
 id = {ad280ae7-d2a1-3d65-9ac2-c12853c556a0},
 created = {2018-03-31T21:41:55.496Z},
 accessed = {2018-03-31},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {5efe986e-978a-3009-a061-88cca2e117b0},
 last_modified = {2018-03-31T21:41:55.496Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {Many American universities located in the Middle East try to offer the stamp of higher quality in education that the United States provides and delivers. These institutions are doing an incredible job of providing opportunity for youths of that region to obtain an American education. However, these universities bear the stereotype that they are not applying a genuinely American-style teaching system and methods, but rather an Arabic style with an American name. The research question asks to which extent this stereotype is true. The purpose of the study is to determine if there is/are relationship(s) among the personality types of students enrolled in an American institution in an Arabic country, their background and other factors related to their choice of this institution, and their opinion about the teach-ing styles applied in this university. Linear regression is used in this study along with Bayesian networks approach to link those different variables and detect possible relationships among these variables. The data used in this paper were derived from an accessible population of 508 students during the Fall of 2011 at a US institution in Jordan. The study reveals that American education is the main reason students chose to join an American university in their Arabic country. It also revealed that American universities in the Middle East region try to offer students the benefits of an American educations while at their home country. However, these American universities bear the stereotype that they are not applying a genuinely American-style teaching system and methods, but rather an Arabic style with an American name. This article describes to which extent this stereotype is true and determines some of the reasons students in the Middle East Join American universities in their country. It looks at relationship(s) among the personality types of students, their background, and other factors related to their choice of this institution, and their opinion about the teaching styles applied in this university. It is found that American education is the main reason students chose to join an American university in their Arabic country. It also revealed that such reason is related to gender, personality type, and qualifications among this group of university students. such reason is related to gender, personality type, and qualifications among this group of university students. More than 95% of the students think that the stan-dards applied in the local American universities are less than 50% of those applied in the States.},
 bibtype = {article},
 author = {Smail, Linda and Silvera, Ginger},
 doi = {10.1080/2331186X.2018.1447228},
 journal = {Cogent Education},
 number = {5}
}

@article{
 title = {Sociological Mechanisms Underlying Alcohol , Tobacco , and Gambling : A Causal Mediation Analysis},
 type = {article},
 year = {2018},
 keywords = {alcohol consumption,directed acyclic graph,gambling,tobacco consumption},
 pages = {56-63},
 volume = {16},
 id = {691729ab-aab1-3fbd-bd3a-0bbf2d916cea},
 created = {2018-03-31T21:41:55.640Z},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {5efe986e-978a-3009-a061-88cca2e117b0},
 last_modified = {2018-03-31T21:41:55.640Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 bibtype = {article},
 author = {Changpetch, Pannapa and Haughton, Dominique},
 number = {January}
}

@article{
 title = {How gender and emotions bias the credit decision-making in banking firms},
 type = {article},
 year = {2019},
 pages = {183-191},
 volume = {22},
 websites = {https://www.sciencedirect.com/science/article/pii/S2214635018302739#!},
 month = {6},
 publisher = {Elsevier},
 day = {1},
 id = {4cf878bb-d5bc-37e1-bd9d-14b54700e993},
 created = {2019-03-26T13:11:33.265Z},
 accessed = {2019-03-26},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {5efe986e-978a-3009-a061-88cca2e117b0},
 last_modified = {2019-03-26T13:11:33.361Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {This study sheds the light on the effect of the emotional bias and the gender on the credit risk management of Tunisian banks. We may expect that male and female CEO react differently to emotions and that gender-based behavior differences will affect the organizational design of the credit decision making. We opt for a Bayesian Net Work method which uses the variables to express the events or objects and analyze their behaviors to model such causal relationships. Results show that emotional bias can explain the cross-sectional heterogeneity in risk-taking behavior among banks and that managers’ gender types influences the propensity to delegate the credit decision making. Overconfident and optimist female banks’ manager are more conservative than males and they tend to centralize the credit decision-making process. Findings show also that financial literacy significatively affect the credit decision making, whereas bank size have no effect.},
 bibtype = {article},
 author = {Bacha, Sami and Azouzi, Mohamed Ali},
 doi = {10.1016/J.JBEF.2019.03.004},
 journal = {Journal of Behavioral and Experimental Finance}
}

@article{
 title = {Roofing tiles or slates ? A network analysis of factors influencing architect choice},
 type = {article},
 year = {2019},
 volume = {4},
 id = {90d3c82b-e3d7-3a4a-b3ef-a49ae1f89f64},
 created = {2019-09-30T14:07:59.932Z},
 file_attached = {false},
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 last_modified = {2019-09-30T14:07:59.932Z},
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 author = {Gerassis, Saki and Saavedra, Ángeles and García, Julio F and Taboada, Javier and López, Santiago}
}\">\n            <i class=\"fa fa-download fa-fw\"></i> Download BibTeX\n          </a>\n        </li>\n        <li>\n          <a href=\"//bibbase.org/rss?bib=\">\n            <i class=\"fa fa-rss fa-fw\"></i> RSS Feed\n          </a>\n          </li>\n      </ul>\n      </li>\n\n      \n\n\n      \n    </ul>\n\n\n    <div class=\"alert alert-success bibbase_msg\" id=\"bibbase_msg_embed\"\n         style=\"display: none;\">\n\n      Excellent! 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In order to keep using Mendeley with BibBase past April\n        14th, you need to:\n        <ol>\n          <li>renew the authorization for BibBase on Mendeley, and</li>\n          <li>update the BibBase URL\n            in your page the same way you did when you initially set up\n            this page.\n          </li>\n        </ol>\n      </p>\n\n      <p>\n        <a href=\"http://bibbase.org/cgi-bin/mendeley2/get.py\">\n          <i class=\"fa fa-angle-double-right\"></i>\n          Fix it now</a>\n      </p>\n    </div>\n\n  </div>\n\n\n  <div id=\"bibbase_body\">\n    \n  \n  <div class=\"bibbase_group_whole\" id=\"group_2019\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2019')\"\n      onkeypress=\"toggleGroup('group_2019')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2019</span>\n      <span class=\"bibbase_group_count\">\n        \n        (2)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"bacha-azouzi-howgenderandemotionsbiasthecreditdecisionmakinginbankingfirms-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S2214635018302739#!\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'bacha-azouzi-howgenderandemotionsbiasthecreditdecisionmakinginbankingfirms-2019', 'https://www.sciencedirect.com/science/article/pii/S2214635018302739#!', event);\">\n    How gender and emotions bias the credit decision-making in banking firms.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bacha,  S.;  and Azouzi,  M., A.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Behavioral and Experimental Finance</i>, 22: 183-191. 6 2019.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S2214635018302739#!\"\n     onclick=\"log_download('bacha-azouzi-howgenderandemotionsbiasthecreditdecisionmakinginbankingfirms-2019', 'https://www.sciencedirect.com/science/article/pii/S2214635018302739#!', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"How gender and emotions bias the credit decision-making in banking firms [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/J.JBEF.2019.03.004\"\n     onclick=\"log_download('bacha-azouzi-howgenderandemotionsbiasthecreditdecisionmakinginbankingfirms-2019', 'http://doi.org/10.1016/J.JBEF.2019.03.004', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/bacha-azouzi-howgenderandemotionsbiasthecreditdecisionmakinginbankingfirms-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bacha-azouzi-howgenderandemotionsbiasthecreditdecisionmakinginbankingfirms-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {How gender and emotions bias the credit decision-making in banking firms},\n type = {article},\n year = {2019},\n pages = {183-191},\n volume = {22},\n websites = {https://www.sciencedirect.com/science/article/pii/S2214635018302739#!},\n month = {6},\n publisher = {Elsevier},\n day = {1},\n id = {4cf878bb-d5bc-37e1-bd9d-14b54700e993},\n created = {2019-03-26T13:11:33.265Z},\n accessed = {2019-03-26},\n file_attached = {false},\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\n last_modified = {2019-03-26T13:11:33.361Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {This study sheds the light on the effect of the emotional bias and the gender on the credit risk management of Tunisian banks. We may expect that male and female CEO react differently to emotions and that gender-based behavior differences will affect the organizational design of the credit decision making. We opt for a Bayesian Net Work method which uses the variables to express the events or objects and analyze their behaviors to model such causal relationships. Results show that emotional bias can explain the cross-sectional heterogeneity in risk-taking behavior among banks and that managers’ gender types influences the propensity to delegate the credit decision making. Overconfident and optimist female banks’ manager are more conservative than males and they tend to centralize the credit decision-making process. Findings show also that financial literacy significatively affect the credit decision making, whereas bank size have no effect.},\n bibtype = {article},\n author = {Bacha, Sami and Azouzi, Mohamed Ali},\n doi = {10.1016/J.JBEF.2019.03.004},\n journal = {Journal of Behavioral and Experimental Finance}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  This study sheds the light on the effect of the emotional bias and the gender on the credit risk management of Tunisian banks. We may expect that male and female CEO react differently to emotions and that gender-based behavior differences will affect the organizational design of the credit decision making. We opt for a Bayesian Net Work method which uses the variables to express the events or objects and analyze their behaviors to model such causal relationships. Results show that emotional bias can explain the cross-sectional heterogeneity in risk-taking behavior among banks and that managers’ gender types influences the propensity to delegate the credit decision making. Overconfident and optimist female banks’ manager are more conservative than males and they tend to centralize the credit decision-making process. Findings show also that financial literacy significatively affect the credit decision making, whereas bank size have no effect.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"gerassis-saavedra-garca-taboada-lpez-roofingtilesorslatesanetworkanalysisoffactorsinfluencingarchitectchoice-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Roofing tiles or slates ? A network analysis of factors influencing architect choice.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Gerassis,  S.; Saavedra,  Á.; García,  J., F.; Taboada,  J.;  and López,  S.\n</span>\n\n  \n\n</span>\n\n  , 4.  2019.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/gerassis-saavedra-garca-taboada-lpez-roofingtilesorslatesanetworkanalysisoffactorsinfluencingarchitectchoice-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('gerassis-saavedra-garca-taboada-lpez-roofingtilesorslatesanetworkanalysisoffactorsinfluencingarchitectchoice-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Roofing tiles or slates ? A network analysis of factors influencing architect choice},\n type = {article},\n year = {2019},\n volume = {4},\n id = {90d3c82b-e3d7-3a4a-b3ef-a49ae1f89f64},\n created = {2019-09-30T14:07:59.932Z},\n file_attached = {false},\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\n last_modified = {2019-09-30T14:07:59.932Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Gerassis, Saki and Saavedra, Ángeles and García, Julio F and Taboada, Javier and López, Santiago}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2018\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2018')\"\n      onkeypress=\"toggleGroup('group_2018')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2018</span>\n      <span class=\"bibbase_group_count\">\n        \n        (2)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"smail-silvera-americanuniversitiesinthemiddleeastastudentsperspectiveamericanuniversitiesinthemiddleeastastudentsperspective-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.cogentoa.com/article/10.1080/2331186X.2018.1447228.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'smail-silvera-americanuniversitiesinthemiddleeastastudentsperspectiveamericanuniversitiesinthemiddleeastastudentsperspective-2018', 'https://www.cogentoa.com/article/10.1080/2331186X.2018.1447228.pdf', event);\">\n    American universities in the Middle East: A student's perspective American universities in the Middle East: A student's perspective.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Smail,  L.;  and Silvera,  G.\n</span>\n\n  \n\n</span>\n\n  <i>Cogent Education</i>, 88(5).  2018.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.cogentoa.com/article/10.1080/2331186X.2018.1447228.pdf\"\n     onclick=\"log_download('smail-silvera-americanuniversitiesinthemiddleeastastudentsperspectiveamericanuniversitiesinthemiddleeastastudentsperspective-2018', 'https://www.cogentoa.com/article/10.1080/2331186X.2018.1447228.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"American universities in the Middle East: A student&#x27;s perspective American universities in the Middle East: A student&#x27;s perspective [pdf]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1080/2331186X.2018.1447228\"\n     onclick=\"log_download('smail-silvera-americanuniversitiesinthemiddleeastastudentsperspectiveamericanuniversitiesinthemiddleeastastudentsperspective-2018', 'http://doi.org/10.1080/2331186X.2018.1447228', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/smail-silvera-americanuniversitiesinthemiddleeastastudentsperspectiveamericanuniversitiesinthemiddleeastastudentsperspective-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('smail-silvera-americanuniversitiesinthemiddleeastastudentsperspectiveamericanuniversitiesinthemiddleeastastudentsperspective-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {American universities in the Middle East: A student&#x27;s perspective American universities in the Middle East: A student&#x27;s perspective},\n type = {article},\n year = {2018},\n volume = {88},\n websites = {https://www.cogentoa.com/article/10.1080/2331186X.2018.1447228.pdf},\n id = {ad280ae7-d2a1-3d65-9ac2-c12853c556a0},\n created = {2018-03-31T21:41:55.496Z},\n accessed = {2018-03-31},\n file_attached = {false},\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\n last_modified = {2018-03-31T21:41:55.496Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {Many American universities located in the Middle East try to offer the stamp of higher quality in education that the United States provides and delivers. These institutions are doing an incredible job of providing opportunity for youths of that region to obtain an American education. However, these universities bear the stereotype that they are not applying a genuinely American-style teaching system and methods, but rather an Arabic style with an American name. The research question asks to which extent this stereotype is true. The purpose of the study is to determine if there is/are relationship(s) among the personality types of students enrolled in an American institution in an Arabic country, their background and other factors related to their choice of this institution, and their opinion about the teach-ing styles applied in this university. Linear regression is used in this study along with Bayesian networks approach to link those different variables and detect possible relationships among these variables. The data used in this paper were derived from an accessible population of 508 students during the Fall of 2011 at a US institution in Jordan. The study reveals that American education is the main reason students chose to join an American university in their Arabic country. It also revealed that American universities in the Middle East region try to offer students the benefits of an American educations while at their home country. However, these American universities bear the stereotype that they are not applying a genuinely American-style teaching system and methods, but rather an Arabic style with an American name. This article describes to which extent this stereotype is true and determines some of the reasons students in the Middle East Join American universities in their country. It looks at relationship(s) among the personality types of students, their background, and other factors related to their choice of this institution, and their opinion about the teaching styles applied in this university. It is found that American education is the main reason students chose to join an American university in their Arabic country. It also revealed that such reason is related to gender, personality type, and qualifications among this group of university students. such reason is related to gender, personality type, and qualifications among this group of university students. More than 95% of the students think that the stan-dards applied in the local American universities are less than 50% of those applied in the States.},\n bibtype = {article},\n author = {Smail, Linda and Silvera, Ginger},\n doi = {10.1080/2331186X.2018.1447228},\n journal = {Cogent Education},\n number = {5}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Many American universities located in the Middle East try to offer the stamp of higher quality in education that the United States provides and delivers. These institutions are doing an incredible job of providing opportunity for youths of that region to obtain an American education. However, these universities bear the stereotype that they are not applying a genuinely American-style teaching system and methods, but rather an Arabic style with an American name. The research question asks to which extent this stereotype is true. The purpose of the study is to determine if there is/are relationship(s) among the personality types of students enrolled in an American institution in an Arabic country, their background and other factors related to their choice of this institution, and their opinion about the teach-ing styles applied in this university. Linear regression is used in this study along with Bayesian networks approach to link those different variables and detect possible relationships among these variables. The data used in this paper were derived from an accessible population of 508 students during the Fall of 2011 at a US institution in Jordan. The study reveals that American education is the main reason students chose to join an American university in their Arabic country. It also revealed that American universities in the Middle East region try to offer students the benefits of an American educations while at their home country. However, these American universities bear the stereotype that they are not applying a genuinely American-style teaching system and methods, but rather an Arabic style with an American name. This article describes to which extent this stereotype is true and determines some of the reasons students in the Middle East Join American universities in their country. It looks at relationship(s) among the personality types of students, their background, and other factors related to their choice of this institution, and their opinion about the teaching styles applied in this university. It is found that American education is the main reason students chose to join an American university in their Arabic country. It also revealed that such reason is related to gender, personality type, and qualifications among this group of university students. such reason is related to gender, personality type, and qualifications among this group of university students. More than 95% of the students think that the stan-dards applied in the local American universities are less than 50% of those applied in the States.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"changpetch-haughton-sociologicalmechanismsunderlyingalcoholtobaccoandgamblingacausalmediationanalysis-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Sociological Mechanisms Underlying Alcohol , Tobacco , and Gambling : A Causal Mediation Analysis.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Changpetch,  P.;  and Haughton,  D.\n</span>\n\n  \n\n</span>\n\n  , 16(January): 56-63.  2018.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/changpetch-haughton-sociologicalmechanismsunderlyingalcoholtobaccoandgamblingacausalmediationanalysis-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('changpetch-haughton-sociologicalmechanismsunderlyingalcoholtobaccoandgamblingacausalmediationanalysis-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Sociological Mechanisms Underlying Alcohol , Tobacco , and Gambling : A Causal Mediation Analysis},\n type = {article},\n year = {2018},\n keywords = {alcohol consumption,directed acyclic graph,gambling,tobacco consumption},\n pages = {56-63},\n volume = {16},\n id = {691729ab-aab1-3fbd-bd3a-0bbf2d916cea},\n created = {2018-03-31T21:41:55.640Z},\n file_attached = {false},\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\n last_modified = {2018-03-31T21:41:55.640Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Changpetch, Pannapa and Haughton, Dominique},\n number = {January}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2013\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2013')\"\n      onkeypress=\"toggleGroup('group_2013')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2013</span>\n      <span class=\"bibbase_group_count\">\n        \n        (7)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"ludwig-berthiaume-boerlin-gow-lger-lewis-identifyingassociationsinescherichiacoliantimicrobialresistancepatternsusingadditivebayesiannetworks-2013\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0167587713000366\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ludwig-berthiaume-boerlin-gow-lger-lewis-identifyingassociationsinescherichiacoliantimicrobialresistancepatternsusingadditivebayesiannetworks-2013', 'http://www.sciencedirect.com/science/article/pii/S0167587713000366', event);\">\n    Identifying associations in Escherichia coli antimicrobial resistance patterns using additive Bayesian networks.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ludwig,  A.; Berthiaume,  P.; Boerlin,  P.; Gow,  S.; Léger,  D.;  and Lewis,  F., I.\n</span>\n\n  \n\n</span>\n\n  <i>Preventive veterinary medicine</i>, 110(1): 64-75. 5 2013.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0167587713000366\"\n     onclick=\"log_download('ludwig-berthiaume-boerlin-gow-lger-lewis-identifyingassociationsinescherichiacoliantimicrobialresistancepatternsusingadditivebayesiannetworks-2013', 'http://www.sciencedirect.com/science/article/pii/S0167587713000366', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Identifying associations in Escherichia coli antimicrobial resistance patterns using additive Bayesian networks. [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.prevetmed.2013.02.005\"\n     onclick=\"log_download('ludwig-berthiaume-boerlin-gow-lger-lewis-identifyingassociationsinescherichiacoliantimicrobialresistancepatternsusingadditivebayesiannetworks-2013', 'http://doi.org/10.1016/j.prevetmed.2013.02.005', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ludwig-berthiaume-boerlin-gow-lger-lewis-identifyingassociationsinescherichiacoliantimicrobialresistancepatternsusingadditivebayesiannetworks-2013\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ludwig-berthiaume-boerlin-gow-lger-lewis-identifyingassociationsinescherichiacoliantimicrobialresistancepatternsusingadditivebayesiannetworks-2013')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Identifying associations in Escherichia coli antimicrobial resistance patterns using additive Bayesian networks.},\n type = {article},\n year = {2013},\n keywords = {Animals,Anti-Bacterial Agents,Anti-Bacterial Agents: pharmacology,Bayes Theorem,Canada,Drug Resistance, Multiple, Bacterial,Escherichia coli,Escherichia coli Infections,Escherichia coli Infections: epidemiology,Escherichia coli Infections: microbiology,Escherichia coli Infections: veterinary,Escherichia coli: drug effects,Feces,Feces: microbiology,Multivariate Analysis,Risk Factors,Seasons,Swine,Swine Diseases,Swine Diseases: epidemiology,Swine Diseases: microbiology},\n pages = {64-75},\n volume = {110},\n websites = {http://www.sciencedirect.com/science/article/pii/S0167587713000366},\n month = {5},\n day = {15},\n id = {5d19bdcc-c46f-3d67-a7e3-8fa6e18f2019},\n created = {2015-04-12T19:47:10.000Z},\n accessed = {2015-04-11},\n file_attached = {false},\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\n last_modified = {2017-03-14T14:39:39.366Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {While the genesis of antimicrobial resistance (AMR) in animal production is a high profile topic in the media and the scientific community, it is still not well understood. The epidemiology of AMR is complex. This complexity is demonstrated by extensive biological and evolutionary mechanisms which are potentially impacted by farm management and husbandry practices - the risk factors. Many parts of this system have yet to be fully described. Notably, the occurrence of multiple resistance patterns is the rule rather than exception - the multivariate problem. A first essential step in the development of any comprehensive risk factor analysis - whose goal is the prevention or reduction of AMR - is to describe those associations between different patterns of resistance which are systematic. That is, have sufficient statistical support for these patterns to be considered robust features of the underlying epidemiological system, and whose presence must therefore be incorporated into any risk factor analysis of AMR for it to be meaningful with respect to the farm environment. Presented here is a case study that seeks to identify systematic associations between patterns of resistance to 13 different antimicrobials in Escherichia coli isolates obtained from composite finisher (&gt;80 kg) pig faecal samples obtained from Canada&#x27;s five major pork producing provinces. The use of a Bayesian network analysis approach allowed us to identify many systematic associations between individual antimicrobial resistances. Sixteen of these resistances are corroborated with existing literature. These associations are distributed between several important classes of antimicrobials including the β-lactams, folate biosynthesis inhibitors, tetracyclines, aminoglycosides and quinolones. This study presents an exciting first step towards the larger and far more ambitious goal of developing generic and holistic risk factor analyses for on-farm occurrence of AMR. Analyses of this nature would combine multivariate response variables (joint patterns of resistance) with multi-factorial causal factors from within the livestock production environment thereby permitting a more complete understanding of the epidemiology of antimicrobial resistance.},\n bibtype = {article},\n author = {Ludwig, Antoinette and Berthiaume, Philippe and Boerlin, Patrick and Gow, Sheryl and Léger, David and Lewis, Fraser I},\n doi = {10.1016/j.prevetmed.2013.02.005},\n journal = {Preventive veterinary medicine},\n number = {1}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  While the genesis of antimicrobial resistance (AMR) in animal production is a high profile topic in the media and the scientific community, it is still not well understood. The epidemiology of AMR is complex. This complexity is demonstrated by extensive biological and evolutionary mechanisms which are potentially impacted by farm management and husbandry practices - the risk factors. Many parts of this system have yet to be fully described. Notably, the occurrence of multiple resistance patterns is the rule rather than exception - the multivariate problem. A first essential step in the development of any comprehensive risk factor analysis - whose goal is the prevention or reduction of AMR - is to describe those associations between different patterns of resistance which are systematic. That is, have sufficient statistical support for these patterns to be considered robust features of the underlying epidemiological system, and whose presence must therefore be incorporated into any risk factor analysis of AMR for it to be meaningful with respect to the farm environment. Presented here is a case study that seeks to identify systematic associations between patterns of resistance to 13 different antimicrobials in Escherichia coli isolates obtained from composite finisher (>80 kg) pig faecal samples obtained from Canada's five major pork producing provinces. The use of a Bayesian network analysis approach allowed us to identify many systematic associations between individual antimicrobial resistances. Sixteen of these resistances are corroborated with existing literature. These associations are distributed between several important classes of antimicrobials including the β-lactams, folate biosynthesis inhibitors, tetracyclines, aminoglycosides and quinolones. This study presents an exciting first step towards the larger and far more ambitious goal of developing generic and holistic risk factor analyses for on-farm occurrence of AMR. Analyses of this nature would combine multivariate response variables (joint patterns of resistance) with multi-factorial causal factors from within the livestock production environment thereby permitting a more complete understanding of the epidemiology of antimicrobial resistance.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"tsai-lai-chen-lin-analysisoftopographicandvegetativefactorswithdataminingforlandslideverification-2013\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0925857413003224\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'tsai-lai-chen-lin-analysisoftopographicandvegetativefactorswithdataminingforlandslideverification-2013', 'http://www.sciencedirect.com/science/article/pii/S0925857413003224', event);\">\n    Analysis of topographic and vegetative factors with data mining for landslide verification.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Tsai,  F.; Lai,  J.; Chen,  W., W.;  and Lin,  T.\n</span>\n\n  \n\n</span>\n\n  <i>Ecological Engineering</i>, 61: 669-677. 12 2013.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0925857413003224\"\n     onclick=\"log_download('tsai-lai-chen-lin-analysisoftopographicandvegetativefactorswithdataminingforlandslideverification-2013', 'http://www.sciencedirect.com/science/article/pii/S0925857413003224', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Analysis of topographic and vegetative factors with data mining for landslide verification [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.ecoleng.2013.07.070\"\n     onclick=\"log_download('tsai-lai-chen-lin-analysisoftopographicandvegetativefactorswithdataminingforlandslideverification-2013', 'http://doi.org/10.1016/j.ecoleng.2013.07.070', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/tsai-lai-chen-lin-analysisoftopographicandvegetativefactorswithdataminingforlandslideverification-2013\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('tsai-lai-chen-lin-analysisoftopographicandvegetativefactorswithdataminingforlandslideverification-2013')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Analysis of topographic and vegetative factors with data mining for landslide verification},\n type = {article},\n year = {2013},\n keywords = {Bayesian Network,Data mining,Decision Tree,Landslide,Slope stability,Vegetation index},\n pages = {669-677},\n volume = {61},\n websites = {http://www.sciencedirect.com/science/article/pii/S0925857413003224},\n month = {12},\n id = {417a18c7-c2cc-369e-a07c-e186fe93af21},\n created = {2015-04-12T20:17:33.000Z},\n accessed = {2015-03-03},\n file_attached = {false},\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\n last_modified = {2017-03-14T14:39:39.366Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {This study employed data mining techniques to analyze topographic and vegetative factors for the verification of landslides induced by heavy rainfall in a regional scale in Taiwan. Decision Tree and Bayesian Network data mining algorithms were implemented to extract knowledge from supplied landslide factors. Eleven topographic and vegetative factors were considered for landslide analysis. In addition to individual factors derived from digital terrain model and satellite images, combined factors were also generated from data fusion. Landslide data of the study site collected between 2004 and 2007 were used to generate rules with data mining and to construct models of landslide factors. The constructed landslide factor models were used to verify landslide detections and to predict potential landslides. The prediction results of landslide events in 2008 were then verified against field-collected ground truth to evaluate the effectiveness of the models. In this study, topographic and vegetative parameters have been proven to be significant factors for landslides in the study site. Preliminary experimental results also indicate that the constructed models with data mining can achieve high accuracy in landslide detection. However, when directly applying the models for the prediction of potential landslides, the results were not reliable due to spatial uncertainties of the data. To address this issue, a statistics-based mechanism was developed to reduce data uncertainties. The results demonstrate that after reducing data uncertainties, the models can produce more reliable results of landslide prediction in the study site, as the kappa coefficients in the prediction were substantially increased by 29% using Decision Tree and by 20% using Bayesian Network algorithms, respectively.},\n bibtype = {article},\n author = {Tsai, Fuan and Lai, Jhe-Syuan and Chen, Walter W. and Lin, Tang-Huang},\n doi = {10.1016/j.ecoleng.2013.07.070},\n journal = {Ecological Engineering}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  This study employed data mining techniques to analyze topographic and vegetative factors for the verification of landslides induced by heavy rainfall in a regional scale in Taiwan. Decision Tree and Bayesian Network data mining algorithms were implemented to extract knowledge from supplied landslide factors. Eleven topographic and vegetative factors were considered for landslide analysis. In addition to individual factors derived from digital terrain model and satellite images, combined factors were also generated from data fusion. Landslide data of the study site collected between 2004 and 2007 were used to generate rules with data mining and to construct models of landslide factors. The constructed landslide factor models were used to verify landslide detections and to predict potential landslides. The prediction results of landslide events in 2008 were then verified against field-collected ground truth to evaluate the effectiveness of the models. In this study, topographic and vegetative parameters have been proven to be significant factors for landslides in the study site. Preliminary experimental results also indicate that the constructed models with data mining can achieve high accuracy in landslide detection. However, when directly applying the models for the prediction of potential landslides, the results were not reliable due to spatial uncertainties of the data. To address this issue, a statistics-based mechanism was developed to reduce data uncertainties. The results demonstrate that after reducing data uncertainties, the models can produce more reliable results of landslide prediction in the study site, as the kappa coefficients in the prediction were substantially increased by 29% using Decision Tree and by 20% using Bayesian Network algorithms, respectively.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"wilson-ribeiro-boinas-useofabayesiannetworkmodeltoidentifyfactorsassociatedwiththepresenceofthetickornithodoroserraticusonpigfarmsinsouthernportugal-2013\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0167587713000378\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wilson-ribeiro-boinas-useofabayesiannetworkmodeltoidentifyfactorsassociatedwiththepresenceofthetickornithodoroserraticusonpigfarmsinsouthernportugal-2013', 'http://www.sciencedirect.com/science/article/pii/S0167587713000378', event);\">\n    Use of a Bayesian network model to identify factors associated with the presence of the tick Ornithodoros erraticus on pig farms in southern Portugal.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Wilson,  A., J.; Ribeiro,  R.;  and Boinas,  F.\n</span>\n\n  \n\n</span>\n\n  <i>Preventive veterinary medicine</i>, 110(1): 45-53. 5 2013.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0167587713000378\"\n     onclick=\"log_download('wilson-ribeiro-boinas-useofabayesiannetworkmodeltoidentifyfactorsassociatedwiththepresenceofthetickornithodoroserraticusonpigfarmsinsouthernportugal-2013', 'http://www.sciencedirect.com/science/article/pii/S0167587713000378', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Use of a Bayesian network model to identify factors associated with the presence of the tick Ornithodoros erraticus on pig farms in southern Portugal. [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.prevetmed.2013.02.006\"\n     onclick=\"log_download('wilson-ribeiro-boinas-useofabayesiannetworkmodeltoidentifyfactorsassociatedwiththepresenceofthetickornithodoroserraticusonpigfarmsinsouthernportugal-2013', 'http://doi.org/10.1016/j.prevetmed.2013.02.006', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/wilson-ribeiro-boinas-useofabayesiannetworkmodeltoidentifyfactorsassociatedwiththepresenceofthetickornithodoroserraticusonpigfarmsinsouthernportugal-2013\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wilson-ribeiro-boinas-useofabayesiannetworkmodeltoidentifyfactorsassociatedwiththepresenceofthetickornithodoroserraticusonpigfarmsinsouthernportugal-2013')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Use of a Bayesian network model to identify factors associated with the presence of the tick Ornithodoros erraticus on pig farms in southern Portugal.},\n type = {article},\n year = {2013},\n keywords = {Animal Husbandry,Animal Husbandry: methods,Animals,Bayes Theorem,Environment,Models, Biological,Ornithodoros,Ornithodoros: physiology,Portugal,Swine,Swine Diseases,Swine Diseases: epidemiology,Swine Diseases: parasitology,Tick Infestations,Tick Infestations: epidemiology,Tick Infestations: parasitology,Tick Infestations: veterinary},\n pages = {45-53},\n volume = {110},\n websites = {http://www.sciencedirect.com/science/article/pii/S0167587713000378},\n month = {5},\n day = {15},\n id = {d1b9c43a-b2ae-3bb5-91f3-5d712d733270},\n created = {2015-04-12T20:17:34.000Z},\n accessed = {2015-03-12},\n file_attached = {false},\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\n last_modified = {2017-03-14T14:39:39.366Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {The soft tick Ornithodoros erraticus occurs on pig farms in southern Portugal and Spain and transmits several important pathogens of humans and livestock. Its distribution is patchy and the determinants of its distribution are uncertain. Here, we use a Bayesian network model to explore possible associations between climate, farm management and the presence of O. erraticus. The resulting network confirms previous suggestions that the presence of O. erraticus is more likely in traditionally constructed pig housing, and indicates that carbon dioxide traps are highly effective for the detection of O. erraticus. Our approach also picked up several other intuitively reasonable relationships, including that traditional housing was more likely to be in poor condition and more likely to be out of use, and that buildings which were in use to house pigs were also less likely to be derelict. Neither temperature nor precipitation had any direct effect on the probability of the presence of O. erraticus, suggesting that the distribution of the species is primarily driven by farm management factors.},\n bibtype = {article},\n author = {Wilson, Anthony J and Ribeiro, Rita and Boinas, Fernando},\n doi = {10.1016/j.prevetmed.2013.02.006},\n journal = {Preventive veterinary medicine},\n number = {1}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The soft tick Ornithodoros erraticus occurs on pig farms in southern Portugal and Spain and transmits several important pathogens of humans and livestock. Its distribution is patchy and the determinants of its distribution are uncertain. Here, we use a Bayesian network model to explore possible associations between climate, farm management and the presence of O. erraticus. The resulting network confirms previous suggestions that the presence of O. erraticus is more likely in traditionally constructed pig housing, and indicates that carbon dioxide traps are highly effective for the detection of O. erraticus. Our approach also picked up several other intuitively reasonable relationships, including that traditional housing was more likely to be in poor condition and more likely to be out of use, and that buildings which were in use to house pigs were also less likely to be derelict. Neither temperature nor precipitation had any direct effect on the probability of the presence of O. erraticus, suggesting that the distribution of the species is primarily driven by farm management factors.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mccormick-sanchezvazquez-lewis-usingbayesiannetworkstoexploretheroleofweatherasapotentialdeterminantofdiseaseinpigs-2013\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0167587713000329\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mccormick-sanchezvazquez-lewis-usingbayesiannetworkstoexploretheroleofweatherasapotentialdeterminantofdiseaseinpigs-2013', 'http://www.sciencedirect.com/science/article/pii/S0167587713000329', event);\">\n    Using Bayesian networks to explore the role of weather as a potential determinant of disease in pigs.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  McCormick,  B., J., J.; Sanchez-Vazquez,  M., J.;  and Lewis,  F., I.\n</span>\n\n  \n\n</span>\n\n  <i>Preventive veterinary medicine</i>, 110(1): 54-63. 5 2013.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0167587713000329\"\n     onclick=\"log_download('mccormick-sanchezvazquez-lewis-usingbayesiannetworkstoexploretheroleofweatherasapotentialdeterminantofdiseaseinpigs-2013', 'http://www.sciencedirect.com/science/article/pii/S0167587713000329', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Using Bayesian networks to explore the role of weather as a potential determinant of disease in pigs. [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.prevetmed.2013.02.001\"\n     onclick=\"log_download('mccormick-sanchezvazquez-lewis-usingbayesiannetworkstoexploretheroleofweatherasapotentialdeterminantofdiseaseinpigs-2013', 'http://doi.org/10.1016/j.prevetmed.2013.02.001', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mccormick-sanchezvazquez-lewis-usingbayesiannetworkstoexploretheroleofweatherasapotentialdeterminantofdiseaseinpigs-2013\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mccormick-sanchezvazquez-lewis-usingbayesiannetworkstoexploretheroleofweatherasapotentialdeterminantofdiseaseinpigs-2013')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Using Bayesian networks to explore the role of weather as a potential determinant of disease in pigs.},\n type = {article},\n year = {2013},\n keywords = {Animals,Bayes Theorem,Climate,Great Britain,Models, Statistical,Regression Analysis,Risk Factors,Seasons,Swine,Swine Diseases,Swine Diseases: epidemiology,Swine Diseases: etiology,Weather},\n pages = {54-63},\n volume = {110},\n websites = {http://www.sciencedirect.com/science/article/pii/S0167587713000329},\n month = {5},\n day = {15},\n id = {7de5df59-033b-3aa7-ba6a-05b605403017},\n created = {2015-04-12T20:17:35.000Z},\n accessed = {2015-04-11},\n file_attached = {false},\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\n last_modified = {2017-03-14T14:39:39.366Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Many pathogens are sensitive to climatic variables and this is reflected in their seasonality of occurrence and transmission. The identification of environmental conditions that influence disease occurrence can be subtle, particularly considering their complex interdependencies in addition to those relationships between climate and disease. Statistical treatment of environmental variables is often dependent on their correlations and thus descriptions of climate are often restricted to means rather than accounting for the more precise aspects (including mean, maximum, minimum, variability). Here we utilize a novel multivariate statistical modelling approach, additive Bayesian network (ABN) analyses, to identify the inter-linkages of different weather variables to better capture short-term environmental conditions that are important drivers of disease. We present a case study that explores weather as a driver of disease in livestock systems. We utilize quality assurance health scheme data on ten major diseases of pigs from 875 finishing pig herds distributed across the United Kingdom over 7 years (2005-2011). We examine the relationship between the occurrence of these pathologies and contemporary weather conditions measured by local meteorological stations. All ten pathologies were associated with at least 2 other pathologies (maximum 6). Three pathologies were associated directly with temperature variables: papular dermatitis, enzootic pneumonia and milk spots. Latitude was strongly associated with multiple pathologies, though associations with longitude were eliminated when clustering for repeated observations of farms was assessed. The identification of relationships between climatic factors and different (potentially related) diseases offers a more comprehensive insight into the complex role of seasonal drivers and herd health status than traditional analytical methods.},\n bibtype = {article},\n author = {McCormick, B J J and Sanchez-Vazquez, M J and Lewis, F I},\n doi = {10.1016/j.prevetmed.2013.02.001},\n journal = {Preventive veterinary medicine},\n number = {1}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Many pathogens are sensitive to climatic variables and this is reflected in their seasonality of occurrence and transmission. The identification of environmental conditions that influence disease occurrence can be subtle, particularly considering their complex interdependencies in addition to those relationships between climate and disease. Statistical treatment of environmental variables is often dependent on their correlations and thus descriptions of climate are often restricted to means rather than accounting for the more precise aspects (including mean, maximum, minimum, variability). Here we utilize a novel multivariate statistical modelling approach, additive Bayesian network (ABN) analyses, to identify the inter-linkages of different weather variables to better capture short-term environmental conditions that are important drivers of disease. We present a case study that explores weather as a driver of disease in livestock systems. We utilize quality assurance health scheme data on ten major diseases of pigs from 875 finishing pig herds distributed across the United Kingdom over 7 years (2005-2011). We examine the relationship between the occurrence of these pathologies and contemporary weather conditions measured by local meteorological stations. All ten pathologies were associated with at least 2 other pathologies (maximum 6). Three pathologies were associated directly with temperature variables: papular dermatitis, enzootic pneumonia and milk spots. Latitude was strongly associated with multiple pathologies, though associations with longitude were eliminated when clustering for repeated observations of farms was assessed. The identification of relationships between climatic factors and different (potentially related) diseases offers a more comprehensive insight into the complex role of seasonal drivers and herd health status than traditional analytical methods.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"park-kim-abayesiannetworkapproachtoexaminingkeysuccessfactorsofmobilegames-2013\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0148296312000689\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'park-kim-abayesiannetworkapproachtoexaminingkeysuccessfactorsofmobilegames-2013', 'http://www.sciencedirect.com/science/article/pii/S0148296312000689', event);\">\n    A Bayesian network approach to examining key success factors of mobile games.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Park,  H., J.;  and Kim,  S.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Business Research</i>, 66(9): 1353-1359. 9 2013.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0148296312000689\"\n     onclick=\"log_download('park-kim-abayesiannetworkapproachtoexaminingkeysuccessfactorsofmobilegames-2013', 'http://www.sciencedirect.com/science/article/pii/S0148296312000689', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Bayesian network approach to examining key success factors of mobile games [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.jbusres.2012.02.036\"\n     onclick=\"log_download('park-kim-abayesiannetworkapproachtoexaminingkeysuccessfactorsofmobilegames-2013', 'http://doi.org/10.1016/j.jbusres.2012.02.036', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/park-kim-abayesiannetworkapproachtoexaminingkeysuccessfactorsofmobilegames-2013\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('park-kim-abayesiannetworkapproachtoexaminingkeysuccessfactorsofmobilegames-2013')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {A Bayesian network approach to examining key success factors of mobile games},\n type = {article},\n year = {2013},\n keywords = {Bayesian networks,Mobile games,New product performance},\n pages = {1353-1359},\n volume = {66},\n websites = {http://www.sciencedirect.com/science/article/pii/S0148296312000689},\n month = {9},\n id = {a9e2111d-1716-3c50-9d85-ccf8b0d5ae15},\n created = {2015-04-12T21:20:17.000Z},\n accessed = {2015-04-11},\n file_attached = {false},\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\n last_modified = {2017-03-14T14:39:39.366Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {As mobile game business becomes one of the most lucrative as well as fast-growing businesses, examining key success factors in this industry is of great interest. Utilizing a research method called Bayesian network, this paper models and tests interrelationship among product, marketing, consumer and competition variables. The current study surveys experts who launch many games in Korea. The three most crucial factors for successful games turn out to be targeting, awareness and consumers&#x27; willingness to pay (WTP). Many of the other factors influence the performance of games via these three factors. This paper not only investigates into the sensitivity of game performance to targeting and awareness levels but also examines the influences of product/marketing variables on consumers&#x27; first impression or willingness to pay. The findings on the roles of product or marketing factors that affect consumers&#x27; perceptions and responses, thereby competitiveness and success, will help game makers and distributors make reasonable decisions in allocating corporate resources more efficiently.},\n bibtype = {article},\n author = {Park, Hyun Jung and Kim, Sang-Hoon},\n doi = {10.1016/j.jbusres.2012.02.036},\n journal = {Journal of Business Research},\n number = {9}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  As mobile game business becomes one of the most lucrative as well as fast-growing businesses, examining key success factors in this industry is of great interest. Utilizing a research method called Bayesian network, this paper models and tests interrelationship among product, marketing, consumer and competition variables. The current study surveys experts who launch many games in Korea. The three most crucial factors for successful games turn out to be targeting, awareness and consumers' willingness to pay (WTP). Many of the other factors influence the performance of games via these three factors. This paper not only investigates into the sensitivity of game performance to targeting and awareness levels but also examines the influences of product/marketing variables on consumers' first impression or willingness to pay. The findings on the roles of product or marketing factors that affect consumers' perceptions and responses, thereby competitiveness and success, will help game makers and distributors make reasonable decisions in allocating corporate resources more efficiently.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"chung-lee-seong-generalbayesiannetworkapproachtohealthinformaticspredictionemphasisonperformancecomparison-2013\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S1877042813015280\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'chung-lee-seong-generalbayesiannetworkapproachtohealthinformaticspredictionemphasisonperformancecomparison-2013', 'http://www.sciencedirect.com/science/article/pii/S1877042813015280', event);\">\n    General Bayesian Network Approach to Health Informatics Prediction: Emphasis on Performance Comparison.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Chung,  D.; Lee,  K., C.;  and Seong,  S., C.\n</span>\n\n  \n\n</span>\n\n  <i>Procedia - Social and Behavioral Sciences</i>, 81: 465-468. 6 2013.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S1877042813015280\"\n     onclick=\"log_download('chung-lee-seong-generalbayesiannetworkapproachtohealthinformaticspredictionemphasisonperformancecomparison-2013', 'http://www.sciencedirect.com/science/article/pii/S1877042813015280', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"General Bayesian Network Approach to Health Informatics Prediction: Emphasis on Performance Comparison [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.sbspro.2013.06.461\"\n     onclick=\"log_download('chung-lee-seong-generalbayesiannetworkapproachtohealthinformaticspredictionemphasisonperformancecomparison-2013', 'http://doi.org/10.1016/j.sbspro.2013.06.461', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/chung-lee-seong-generalbayesiannetworkapproachtohealthinformaticspredictionemphasisonperformancecomparison-2013\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('chung-lee-seong-generalbayesiannetworkapproachtohealthinformaticspredictionemphasisonperformancecomparison-2013')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {General Bayesian Network Approach to Health Informatics Prediction: Emphasis on Performance Comparison},\n type = {article},\n year = {2013},\n keywords = {General Bayesian Network,Health Informatics,Naïve Bayesian Network,Tree-Augmented NBN},\n pages = {465-468},\n volume = {81},\n websites = {http://www.sciencedirect.com/science/article/pii/S1877042813015280},\n month = {6},\n id = {b5f15b13-da83-311a-892a-71473856d7e8},\n created = {2015-04-16T00:39:20.000Z},\n accessed = {2015-04-11},\n file_attached = {false},\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\n last_modified = {2017-03-14T14:39:39.366Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Health Informatics is emerging as a promising research area. As average life expectancy increases due to medical technology development, health issues remain most sensitive agenda in most of countries in the world. However, heal th technology requires more intelligent mechanisms by which users’ requirement for more accurate prediction about their health problems can be fulfilled. Furthermore, such intelligent mechanisms must provide very flexible and robust procedures by which complicated but necessary decision support functions are allowed. In this sense, this paper proposes General Bayesian Network (GBN) to predict appropriate diets and restaurants that would benefit users’ health. We compared the performance of GBN with other competing techniques such as NBN (naive Bayesian Network), TAN (Tree Augmented naive Bayesian Network), and decision tree. Experiments with real health dataset revealed that GBN results outperform other techniques with statistical validity.},\n bibtype = {article},\n author = {Chung, Dahee and Lee, Kun Chang and Seong, Seung Chang},\n doi = {10.1016/j.sbspro.2013.06.461},\n journal = {Procedia - Social and Behavioral Sciences}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Health Informatics is emerging as a promising research area. As average life expectancy increases due to medical technology development, health issues remain most sensitive agenda in most of countries in the world. However, heal th technology requires more intelligent mechanisms by which users’ requirement for more accurate prediction about their health problems can be fulfilled. Furthermore, such intelligent mechanisms must provide very flexible and robust procedures by which complicated but necessary decision support functions are allowed. In this sense, this paper proposes General Bayesian Network (GBN) to predict appropriate diets and restaurants that would benefit users’ health. We compared the performance of GBN with other competing techniques such as NBN (naive Bayesian Network), TAN (Tree Augmented naive Bayesian Network), and decision tree. Experiments with real health dataset revealed that GBN results outperform other techniques with statistical validity.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ruz-varas-villena-policymakingforbroadbandadoptionandusageinchilethroughmachinelearning-2013\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S095741741300434X\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ruz-varas-villena-policymakingforbroadbandadoptionandusageinchilethroughmachinelearning-2013', 'http://www.sciencedirect.com/science/article/pii/S095741741300434X', event);\">\n    Policy making for broadband adoption and usage in Chile through machine learning.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ruz,  G., A.; Varas,  S.;  and Villena,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Expert Systems with Applications</i>, 40(17): 6728-6734. 12 2013.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S095741741300434X\"\n     onclick=\"log_download('ruz-varas-villena-policymakingforbroadbandadoptionandusageinchilethroughmachinelearning-2013', 'http://www.sciencedirect.com/science/article/pii/S095741741300434X', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Policy making for broadband adoption and usage in Chile through machine learning [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.eswa.2013.06.039\"\n     onclick=\"log_download('ruz-varas-villena-policymakingforbroadbandadoptionandusageinchilethroughmachinelearning-2013', 'http://doi.org/10.1016/j.eswa.2013.06.039', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ruz-varas-villena-policymakingforbroadbandadoptionandusageinchilethroughmachinelearning-2013\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ruz-varas-villena-policymakingforbroadbandadoptionandusageinchilethroughmachinelearning-2013')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Policy making for broadband adoption and usage in Chile through machine learning},\n type = {article},\n year = {2013},\n keywords = {Bayesian networks,Broadband penetration,Clustering analysis,Policy making},\n pages = {6728-6734},\n volume = {40},\n websites = {http://www.sciencedirect.com/science/article/pii/S095741741300434X},\n month = {12},\n id = {34c461ba-f509-3416-8b22-3b6cef00324a},\n created = {2015-04-16T00:39:20.000Z},\n accessed = {2015-04-11},\n file_attached = {false},\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\n last_modified = {2017-03-14T14:39:39.366Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {For developing countries, such as Chile, we study the influential factors for adoption and usage of broadband services. In particular, subsidies on the broadband price are analyzed to see if this initiative has a significant effect in the broadband penetration. To carry out this study, machine learning techniques are used to identify different household profiles using the data obtained from a survey on access, use, and users of broadband Internet from Chile. Different policies are proposed for each group found, which were then evaluated empirically through Bayesian networks. Results show that an unconditional subsidy for the Internet price does not seem to be very appropriate for everyone since it is only significant for some households groups. The evaluation using Bayesian networks showed that other polices should be considered as well such as the incorporation of computers, Internet applications development, and digital literacy training.},\n bibtype = {article},\n author = {Ruz, Gonzalo A. and Varas, Samuel and Villena, Marcelo},\n doi = {10.1016/j.eswa.2013.06.039},\n journal = {Expert Systems with Applications},\n number = {17}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  For developing countries, such as Chile, we study the influential factors for adoption and usage of broadband services. In particular, subsidies on the broadband price are analyzed to see if this initiative has a significant effect in the broadband penetration. To carry out this study, machine learning techniques are used to identify different household profiles using the data obtained from a survey on access, use, and users of broadband Internet from Chile. Different policies are proposed for each group found, which were then evaluated empirically through Bayesian networks. Results show that an unconditional subsidy for the Internet price does not seem to be very appropriate for everyone since it is only significant for some households groups. The evaluation using Bayesian networks showed that other polices should be considered as well such as the incorporation of computers, Internet applications development, and digital literacy training.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2011\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2011')\"\n      onkeypress=\"toggleGroup('group_2011')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2011</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"kisioglu-topcu-applyingbayesianbeliefnetworkapproachtocustomerchurnanalysisacasestudyonthetelecomindustryofturkey-2011\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0957417410014089\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'kisioglu-topcu-applyingbayesianbeliefnetworkapproachtocustomerchurnanalysisacasestudyonthetelecomindustryofturkey-2011', 'http://www.sciencedirect.com/science/article/pii/S0957417410014089', event);\">\n    Applying Bayesian Belief Network approach to customer churn analysis: A case study on the telecom industry of Turkey.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Kisioglu,  P.;  and Topcu,  Y., I.\n</span>\n\n  \n\n</span>\n\n  <i>Expert Systems with Applications</i>, 38(6): 7151-7157. 6 2011.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0957417410014089\"\n     onclick=\"log_download('kisioglu-topcu-applyingbayesianbeliefnetworkapproachtocustomerchurnanalysisacasestudyonthetelecomindustryofturkey-2011', 'http://www.sciencedirect.com/science/article/pii/S0957417410014089', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Applying Bayesian Belief Network approach to customer churn analysis: A case study on the telecom industry of Turkey [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.eswa.2010.12.045\"\n     onclick=\"log_download('kisioglu-topcu-applyingbayesianbeliefnetworkapproachtocustomerchurnanalysisacasestudyonthetelecomindustryofturkey-2011', 'http://doi.org/10.1016/j.eswa.2010.12.045', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kisioglu-topcu-applyingbayesianbeliefnetworkapproachtocustomerchurnanalysisacasestudyonthetelecomindustryofturkey-2011\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kisioglu-topcu-applyingbayesianbeliefnetworkapproachtocustomerchurnanalysisacasestudyonthetelecomindustryofturkey-2011')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Applying Bayesian Belief Network approach to customer churn analysis: A case study on the telecom industry of Turkey},\n type = {article},\n year = {2011},\n keywords = {Bayesian Belief Networks,Churn analysis,Telecom},\n pages = {7151-7157},\n volume = {38},\n websites = {http://www.sciencedirect.com/science/article/pii/S0957417410014089},\n month = {6},\n id = {99a0b43a-9b8b-389f-b0b2-eb18127bc767},\n created = {2015-04-12T21:20:17.000Z},\n accessed = {2015-04-11},\n file_attached = {false},\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\n last_modified = {2017-03-14T14:39:39.366Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {In telecommunication industry, for many organizations, it is really important to take place in the market. As competition increases between companies, customer churn becomes a great issue to deal with by the telecommunication providers. For an effective churn management, companies try to retain their existing customers, instead of acquiring new ones. Previous researches focus on predicting the customers with a propensity to churn in telecommunication industry. In this study, a model is constructed by Bayesian Belief Network to identify the behaviors of customers with a propensity to churn. The data used are collected from one of the telecommunication providers in Turkey. First, as only discrete variables are used in Bayesian Belief Networks, CHAID (Chi-squared Automatic Interaction Detector) algorithm is applied to discretize continuous variables. Then, a causal map as a base of Bayesian Belief Network is brought out via the results of correlation analysis, multicollinearity test and experts’ opinions. According to the results of Bayesian Belief Network, average minutes of calls, average billing amount, the frequency of calls to people from different providers and tariff type are the most important variables that explain customer churn. At the end of the study, three different scenarios that examine the characteristics of the churners are analyzed and promotions are suggested to reduce the churn rate.},\n bibtype = {article},\n author = {Kisioglu, Pınar and Topcu, Y. Ilker},\n doi = {10.1016/j.eswa.2010.12.045},\n journal = {Expert Systems with Applications},\n number = {6}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In telecommunication industry, for many organizations, it is really important to take place in the market. As competition increases between companies, customer churn becomes a great issue to deal with by the telecommunication providers. For an effective churn management, companies try to retain their existing customers, instead of acquiring new ones. Previous researches focus on predicting the customers with a propensity to churn in telecommunication industry. In this study, a model is constructed by Bayesian Belief Network to identify the behaviors of customers with a propensity to churn. The data used are collected from one of the telecommunication providers in Turkey. First, as only discrete variables are used in Bayesian Belief Networks, CHAID (Chi-squared Automatic Interaction Detector) algorithm is applied to discretize continuous variables. Then, a causal map as a base of Bayesian Belief Network is brought out via the results of correlation analysis, multicollinearity test and experts’ opinions. According to the results of Bayesian Belief Network, average minutes of calls, average billing amount, the frequency of calls to people from different providers and tariff type are the most important variables that explain customer churn. At the end of the study, three different scenarios that examine the characteristics of the churners are analyzed and promotions are suggested to reduce the churn rate.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2010\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2010')\"\n      onkeypress=\"toggleGroup('group_2010')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2010</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"liedloff-smith-predictingatreechangeinaustraliastropicalsavannascombiningdifferenttypesofmodelstounderstandcomplexecosystembehaviour-2010\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0304380010003777\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'liedloff-smith-predictingatreechangeinaustraliastropicalsavannascombiningdifferenttypesofmodelstounderstandcomplexecosystembehaviour-2010', 'http://www.sciencedirect.com/science/article/pii/S0304380010003777', event);\">\n    Predicting a ‘tree change’ in Australia's tropical savannas: Combining different types of models to understand complex ecosystem behaviour.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Liedloff,  A., C.;  and Smith,  C., S.\n</span>\n\n  \n\n</span>\n\n  <i>Ecological Modelling</i>, 221(21): 2565-2575. 10 2010.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0304380010003777\"\n     onclick=\"log_download('liedloff-smith-predictingatreechangeinaustraliastropicalsavannascombiningdifferenttypesofmodelstounderstandcomplexecosystembehaviour-2010', 'http://www.sciencedirect.com/science/article/pii/S0304380010003777', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Predicting a ‘tree change’ in Australia&#x27;s tropical savannas: Combining different types of models to understand complex ecosystem behaviour [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.ecolmodel.2010.07.022\"\n     onclick=\"log_download('liedloff-smith-predictingatreechangeinaustraliastropicalsavannascombiningdifferenttypesofmodelstounderstandcomplexecosystembehaviour-2010', 'http://doi.org/10.1016/j.ecolmodel.2010.07.022', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/liedloff-smith-predictingatreechangeinaustraliastropicalsavannascombiningdifferenttypesofmodelstounderstandcomplexecosystembehaviour-2010\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('liedloff-smith-predictingatreechangeinaustraliastropicalsavannascombiningdifferenttypesofmodelstounderstandcomplexecosystembehaviour-2010')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Predicting a ‘tree change’ in Australia&#x27;s tropical savannas: Combining different types of models to understand complex ecosystem behaviour},\n type = {article},\n year = {2010},\n keywords = {Bayesian networks,Fire management,Flames,Grazing management,Probabilistic modelling,Simulation modelling,Tree density,Woody thickening},\n pages = {2565-2575},\n volume = {221},\n websites = {http://www.sciencedirect.com/science/article/pii/S0304380010003777},\n month = {10},\n id = {1631db95-a2c7-3a43-a51f-e7457cf86c6f},\n created = {2015-04-12T19:14:40.000Z},\n accessed = {2015-04-11},\n file_attached = {false},\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\n last_modified = {2017-03-14T14:39:39.366Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {In this study, key ecological modelling limitations of a process-based simulation model and a Bayesian network were reduced by combining the two approaches. We demonstrate the combined modelling approach with a case study investigating increases in woody vegetation density in northern Australia&#x27;s tropical savannas. We found that by utilising the strengths of a simulation model and a Bayesian network we could both forecast future change in woody vegetation density and diagnose the reasons for current vegetation states. The local conditions of climate, soil characteristics and the starting population of trees were found to be more important in explaining the likelihood of change in woody vegetation density compared to management practices such as grazing pressure and fire regimes. We conclude that combining the strengths of a process and BN model allowed us to produce a simple model that utilised the ability of the process model to simulate ecosystem processes in detail and over long time periods, and the ability of the BN to capture uncertainty in ecosystem response and to conduct scenario, sensitivity and diagnostic analysis. The overall result was a model that has the potential to provide land managers with a better understanding of the behaviour of a complex ecosystem than simply utilising either modelling approach in isolation.},\n bibtype = {article},\n author = {Liedloff, Adam C. and Smith, Carl S.},\n doi = {10.1016/j.ecolmodel.2010.07.022},\n journal = {Ecological Modelling},\n number = {21}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In this study, key ecological modelling limitations of a process-based simulation model and a Bayesian network were reduced by combining the two approaches. We demonstrate the combined modelling approach with a case study investigating increases in woody vegetation density in northern Australia's tropical savannas. We found that by utilising the strengths of a simulation model and a Bayesian network we could both forecast future change in woody vegetation density and diagnose the reasons for current vegetation states. The local conditions of climate, soil characteristics and the starting population of trees were found to be more important in explaining the likelihood of change in woody vegetation density compared to management practices such as grazing pressure and fire regimes. We conclude that combining the strengths of a process and BN model allowed us to produce a simple model that utilised the ability of the process model to simulate ecosystem processes in detail and over long time periods, and the ability of the BN to capture uncertainty in ecosystem response and to conduct scenario, sensitivity and diagnostic analysis. The overall result was a model that has the potential to provide land managers with a better understanding of the behaviour of a complex ecosystem than simply utilising either modelling approach in isolation.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2009\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2009')\"\n      onkeypress=\"toggleGroup('group_2009')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2009</span>\n      <span class=\"bibbase_group_count\">\n        \n        (2)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"langmead-mcquattersgollop-mee-friedrich-gilbert-gomoiu-jackson-knudsen-etal-recoveryordeclineofthenorthwesternblackseaasocietalchoicerevealedbysocioecologicalmodelling-2009\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0304380008004420\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'langmead-mcquattersgollop-mee-friedrich-gilbert-gomoiu-jackson-knudsen-etal-recoveryordeclineofthenorthwesternblackseaasocietalchoicerevealedbysocioecologicalmodelling-2009', 'http://www.sciencedirect.com/science/article/pii/S0304380008004420', event);\">\n    Recovery or decline of the northwestern Black Sea: A societal choice revealed by socio-ecological modelling.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Langmead,  O.; McQuatters-Gollop,  A.; Mee,  L., D.; Friedrich,  J.; Gilbert,  A., J.; Gomoiu,  M.; Jackson,  E., L.; Knudsen,  S.; Minicheva,  G.;  and Todorova,  V.\n</span>\n\n  \n\n</span>\n\n  <i>Ecological Modelling</i>, 220(21): 2927-2939. 11 2009.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0304380008004420\"\n     onclick=\"log_download('langmead-mcquattersgollop-mee-friedrich-gilbert-gomoiu-jackson-knudsen-etal-recoveryordeclineofthenorthwesternblackseaasocietalchoicerevealedbysocioecologicalmodelling-2009', 'http://www.sciencedirect.com/science/article/pii/S0304380008004420', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Recovery or decline of the northwestern Black Sea: A societal choice revealed by socio-ecological modelling [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.ecolmodel.2008.09.011\"\n     onclick=\"log_download('langmead-mcquattersgollop-mee-friedrich-gilbert-gomoiu-jackson-knudsen-etal-recoveryordeclineofthenorthwesternblackseaasocietalchoicerevealedbysocioecologicalmodelling-2009', 'http://doi.org/10.1016/j.ecolmodel.2008.09.011', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/langmead-mcquattersgollop-mee-friedrich-gilbert-gomoiu-jackson-knudsen-etal-recoveryordeclineofthenorthwesternblackseaasocietalchoicerevealedbysocioecologicalmodelling-2009\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('langmead-mcquattersgollop-mee-friedrich-gilbert-gomoiu-jackson-knudsen-etal-recoveryordeclineofthenorthwesternblackseaasocietalchoicerevealedbysocioecologicalmodelling-2009')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Recovery or decline of the northwestern Black Sea: A societal choice revealed by socio-ecological modelling},\n type = {article},\n year = {2009},\n keywords = {Bayesian belief network (BBN),Black Sea,DPSIR,Eutrophication,Marine socio-ecological systems},\n pages = {2927-2939},\n volume = {220},\n websites = {http://www.sciencedirect.com/science/article/pii/S0304380008004420},\n month = {11},\n id = {c6af8d58-b5cc-38e3-8741-24cb7f1311d4},\n created = {2015-04-12T19:14:39.000Z},\n accessed = {2015-04-11},\n file_attached = {false},\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\n last_modified = {2017-03-14T14:39:39.366Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {During recent decades anthropogenic activities have dramatically impacted the Black Sea ecosystem. High levels of riverine nutrient input during the 1970s and 1980s caused eutrophic conditions including intense algal blooms resulting in hypoxia and the subsequent collapse of benthic habitats on the northwestern shelf. Intense fishing pressure also depleted stocks of many apex predators, contributing to an increase in planktivorous fish that are now the focus of fishing efforts. Additionally, the Black Sea&#x27;s ecosystem changed even further with the introduction of exotic species. Economic collapse of the surrounding socialist republics in the early 1990s resulted in decreased nutrient loading which has allowed the Black Sea ecosystem to start to recover, but under rapidly changing economic and political conditions, future recovery is uncertain. In this study we use a multidisciplinary approach to integrate information from socio-economic and ecological systems to model the effects of future development scenarios on the marine environment of the northwestern Black Sea shelf. The Driver–Pressure–State-Impact-Response framework was used to construct conceptual models, explicitly mapping impacts of socio-economic Drivers on the marine ecosystem. Bayesian belief networks (BBNs), a stochastic modelling technique, were used to quantify these causal relationships, operationalise models and assess the effects of alternative development paths on the Black Sea ecosystem. BBNs use probabilistic dependencies as a common metric, allowing the integration of quantitative and qualitative information. Under the Baseline Scenario, recovery of the Black Sea appears tenuous as the exploitation of environmental resources (agriculture, fishing and shipping) increases with continued economic development of post-Soviet countries. This results in the loss of wetlands through drainage and reclamation. Water transparency decreases as phytoplankton bloom and this deterioration in water quality leads to the degradation of coastal plant communities (Cystoseira, seagrass) and also Phyllophora habitat on the shelf. Decomposition of benthic plants results in hypoxia killing flora and fauna associated with these habitats. Ecological pressure from these factors along with constant levels of fishing activity results in target stocks remaining depleted. Of the four Alternative Scenarios, two show improvements on the Baseline ecosystem condition, with improved waste water treatment and reduced fishing pressure, while the other two show a worsening, due to increased natural resource exploitation leading to rapid reversal of any recent ecosystem recovery. From this we conclude that variations in economic policy have significant consequences for the health of the Black Sea, and ecosystem recovery is directly linked to social–economic choices.},\n bibtype = {article},\n author = {Langmead, Olivia and McQuatters-Gollop, Abigail and Mee, Laurence D. and Friedrich, Jana and Gilbert, Alison J. and Gomoiu, Marian-Traian and Jackson, Emma L. and Knudsen, Ståle and Minicheva, Galina and Todorova, Valentina},\n doi = {10.1016/j.ecolmodel.2008.09.011},\n journal = {Ecological Modelling},\n number = {21}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  During recent decades anthropogenic activities have dramatically impacted the Black Sea ecosystem. High levels of riverine nutrient input during the 1970s and 1980s caused eutrophic conditions including intense algal blooms resulting in hypoxia and the subsequent collapse of benthic habitats on the northwestern shelf. Intense fishing pressure also depleted stocks of many apex predators, contributing to an increase in planktivorous fish that are now the focus of fishing efforts. Additionally, the Black Sea's ecosystem changed even further with the introduction of exotic species. Economic collapse of the surrounding socialist republics in the early 1990s resulted in decreased nutrient loading which has allowed the Black Sea ecosystem to start to recover, but under rapidly changing economic and political conditions, future recovery is uncertain. In this study we use a multidisciplinary approach to integrate information from socio-economic and ecological systems to model the effects of future development scenarios on the marine environment of the northwestern Black Sea shelf. The Driver–Pressure–State-Impact-Response framework was used to construct conceptual models, explicitly mapping impacts of socio-economic Drivers on the marine ecosystem. Bayesian belief networks (BBNs), a stochastic modelling technique, were used to quantify these causal relationships, operationalise models and assess the effects of alternative development paths on the Black Sea ecosystem. BBNs use probabilistic dependencies as a common metric, allowing the integration of quantitative and qualitative information. Under the Baseline Scenario, recovery of the Black Sea appears tenuous as the exploitation of environmental resources (agriculture, fishing and shipping) increases with continued economic development of post-Soviet countries. This results in the loss of wetlands through drainage and reclamation. Water transparency decreases as phytoplankton bloom and this deterioration in water quality leads to the degradation of coastal plant communities (Cystoseira, seagrass) and also Phyllophora habitat on the shelf. Decomposition of benthic plants results in hypoxia killing flora and fauna associated with these habitats. Ecological pressure from these factors along with constant levels of fishing activity results in target stocks remaining depleted. Of the four Alternative Scenarios, two show improvements on the Baseline ecosystem condition, with improved waste water treatment and reduced fishing pressure, while the other two show a worsening, due to increased natural resource exploitation leading to rapid reversal of any recent ecosystem recovery. From this we conclude that variations in economic policy have significant consequences for the health of the Black Sea, and ecosystem recovery is directly linked to social–economic choices.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lee-chang-bayesianbeliefnetworkforboxofficeperformanceacasestudyonkoreanmovies-2009\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0957417407004228\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lee-chang-bayesianbeliefnetworkforboxofficeperformanceacasestudyonkoreanmovies-2009', 'http://www.sciencedirect.com/science/article/pii/S0957417407004228', event);\">\n    Bayesian belief network for box-office performance: A case study on Korean movies.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Lee,  K., J.;  and Chang,  W.\n</span>\n\n  \n\n</span>\n\n  <i>Expert Systems with Applications</i>, 36(1): 280-291. 1 2009.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0957417407004228\"\n     onclick=\"log_download('lee-chang-bayesianbeliefnetworkforboxofficeperformanceacasestudyonkoreanmovies-2009', 'http://www.sciencedirect.com/science/article/pii/S0957417407004228', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Bayesian belief network for box-office performance: A case study on Korean movies [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.eswa.2007.09.042\"\n     onclick=\"log_download('lee-chang-bayesianbeliefnetworkforboxofficeperformanceacasestudyonkoreanmovies-2009', 'http://doi.org/10.1016/j.eswa.2007.09.042', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lee-chang-bayesianbeliefnetworkforboxofficeperformanceacasestudyonkoreanmovies-2009\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lee-chang-bayesianbeliefnetworkforboxofficeperformanceacasestudyonkoreanmovies-2009')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Bayesian belief network for box-office performance: A case study on Korean movies},\n type = {article},\n year = {2009},\n keywords = {Bayesian belief network,Box-office performance,Casual belief network,Domain knowledge},\n pages = {280-291},\n volume = {36},\n websites = {http://www.sciencedirect.com/science/article/pii/S0957417407004228},\n month = {1},\n id = {2e256b9d-0a13-3be0-a073-4de50d4176a8},\n created = {2015-04-12T21:20:17.000Z},\n accessed = {2015-04-11},\n file_attached = {false},\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\n last_modified = {2017-03-14T14:39:39.366Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Due to their definition as experience goods with short product lifetime cycles, it is difficult to forecast the demand for motion pictures. Nevertheless, producers and distributors of new movies need to forecast box-office results in an attempt to reduce the uncertainty in the motion picture business. Previous research demonstrated the ability of certain movie attributes such as early box-office data and release season to forecast box-office revenues. However, no previous research has focused on the causal relationship among various movie attributes, which have the potential to increase the accuracy of box-office predictions. In this paper a Bayesian belief network (BBN), which is known as a causal belief network, is constructed to investigate the causal relationship among various movie attributes in the performance prediction of box-office success. Subsequently, sensitivity analysis is conducted to determine those attributes most critically related to box-office performance. Finally, the probability of a movie’s box-office success is computed using the BBN model based on the domain knowledge from the value chain of theoretical motion pictures. The results confirm the improved forecasting accuracy of the BBN model compared to artificial neural network and decision tree.},\n bibtype = {article},\n author = {Lee, Kyung Jae and Chang, Woojin},\n doi = {10.1016/j.eswa.2007.09.042},\n journal = {Expert Systems with Applications},\n number = {1}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Due to their definition as experience goods with short product lifetime cycles, it is difficult to forecast the demand for motion pictures. Nevertheless, producers and distributors of new movies need to forecast box-office results in an attempt to reduce the uncertainty in the motion picture business. Previous research demonstrated the ability of certain movie attributes such as early box-office data and release season to forecast box-office revenues. However, no previous research has focused on the causal relationship among various movie attributes, which have the potential to increase the accuracy of box-office predictions. In this paper a Bayesian belief network (BBN), which is known as a causal belief network, is constructed to investigate the causal relationship among various movie attributes in the performance prediction of box-office success. Subsequently, sensitivity analysis is conducted to determine those attributes most critically related to box-office performance. Finally, the probability of a movie’s box-office success is computed using the BBN model based on the domain knowledge from the value chain of theoretical motion pictures. The results confirm the improved forecasting accuracy of the BBN model compared to artificial neural network and decision tree.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2007\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2007')\"\n      onkeypress=\"toggleGroup('group_2007')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2007</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"meyer-xu-abayesiananalysisoftheinstitutionalandindividualfactorsinfluencingfacultytechnologyuse-2007\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S1096751607000371\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'meyer-xu-abayesiananalysisoftheinstitutionalandindividualfactorsinfluencingfacultytechnologyuse-2007', 'http://www.sciencedirect.com/science/article/pii/S1096751607000371', event);\">\n    A Bayesian analysis of the institutional and individual factors influencing faculty technology use.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Meyer,  K., A.;  and Xu,  Y., J.\n</span>\n\n  \n\n</span>\n\n  <i>The Internet and Higher Education</i>, 10(3): 184-195. 1 2007.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S1096751607000371\"\n     onclick=\"log_download('meyer-xu-abayesiananalysisoftheinstitutionalandindividualfactorsinfluencingfacultytechnologyuse-2007', 'http://www.sciencedirect.com/science/article/pii/S1096751607000371', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Bayesian analysis of the institutional and individual factors influencing faculty technology use [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.iheduc.2007.06.001\"\n     onclick=\"log_download('meyer-xu-abayesiananalysisoftheinstitutionalandindividualfactorsinfluencingfacultytechnologyuse-2007', 'http://doi.org/10.1016/j.iheduc.2007.06.001', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/meyer-xu-abayesiananalysisoftheinstitutionalandindividualfactorsinfluencingfacultytechnologyuse-2007\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('meyer-xu-abayesiananalysisoftheinstitutionalandindividualfactorsinfluencingfacultytechnologyuse-2007')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {A Bayesian analysis of the institutional and individual factors influencing faculty technology use},\n type = {article},\n year = {2007},\n keywords = {Bayesian network,Faculty technology use,Use of technology in instruction},\n pages = {184-195},\n volume = {10},\n websites = {http://www.sciencedirect.com/science/article/pii/S1096751607000371},\n month = {1},\n id = {e11c4d12-a691-3481-acf6-237f29b77223},\n created = {2015-04-16T00:39:20.000Z},\n accessed = {2015-04-11},\n file_attached = {false},\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\n last_modified = {2017-03-14T14:39:39.366Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {This study answered questions about which faculty come to use technology in their teaching and used a novel statistical analysis to develop a model that captures the primary factors influencing faculty technology use. It used a sample of 16,914 faculty within the 2004 National Study of Postsecondary Faculty to explore explanations for faculty technology use. A total of 41 variables were included to capture individual-level influences (both demographic and professional) and institution-level influences (e.g., level of resources, Carnegie classification, public or private control) on technology use. All of the variables were incorporated into a Bayesian network analysis that produced a model of seven variables that classified 69% of the sample accurately. Four of the seven variables point to the important influence of the faculty&#x27;s instructional workload on whether and how much faculty use technology. Carnegie classification was the only institution-level variable to make it into the final model. The faculty&#x27;s highest degree and teaching/research field also had direct and moderating influences on technology use. This model offers insights into who is using technology, why they do so, and how more faculty may be encouraged to acquire greater skills in using technology.},\n bibtype = {article},\n author = {Meyer, Katrina A. and Xu, Yonghong Jade},\n doi = {10.1016/j.iheduc.2007.06.001},\n journal = {The Internet and Higher Education},\n number = {3}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  This study answered questions about which faculty come to use technology in their teaching and used a novel statistical analysis to develop a model that captures the primary factors influencing faculty technology use. It used a sample of 16,914 faculty within the 2004 National Study of Postsecondary Faculty to explore explanations for faculty technology use. A total of 41 variables were included to capture individual-level influences (both demographic and professional) and institution-level influences (e.g., level of resources, Carnegie classification, public or private control) on technology use. All of the variables were incorporated into a Bayesian network analysis that produced a model of seven variables that classified 69% of the sample accurately. Four of the seven variables point to the important influence of the faculty's instructional workload on whether and how much faculty use technology. Carnegie classification was the only institution-level variable to make it into the final model. The faculty's highest degree and teaching/research field also had direct and moderating influences on technology use. This model offers insights into who is using technology, why they do so, and how more faculty may be encouraged to acquire greater skills in using technology.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2005\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2005')\"\n      onkeypress=\"toggleGroup('group_2005')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2005</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"mccollkennedy-anderson-subordinatemanagergendercombinationandperceivedleadershipstyleinfluenceonemotionsselfesteemandorganizationalcommitment-2005\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0148296303001127\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mccollkennedy-anderson-subordinatemanagergendercombinationandperceivedleadershipstyleinfluenceonemotionsselfesteemandorganizationalcommitment-2005', 'http://www.sciencedirect.com/science/article/pii/S0148296303001127', event);\">\n    Subordinate–manager gender combination and perceived leadership style influence on emotions, self-esteem and organizational commitment.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  McColl-Kennedy,  J., R.;  and Anderson,  R., D.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Business Research</i>, 58(2): 115-125. 2 2005.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0148296303001127\"\n     onclick=\"log_download('mccollkennedy-anderson-subordinatemanagergendercombinationandperceivedleadershipstyleinfluenceonemotionsselfesteemandorganizationalcommitment-2005', 'http://www.sciencedirect.com/science/article/pii/S0148296303001127', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Subordinate–manager gender combination and perceived leadership style influence on emotions, self-esteem and organizational commitment [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/S0148-2963(03)00112-7\"\n     onclick=\"log_download('mccollkennedy-anderson-subordinatemanagergendercombinationandperceivedleadershipstyleinfluenceonemotionsselfesteemandorganizationalcommitment-2005', 'http://doi.org/10.1016/S0148-2963(03)00112-7', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mccollkennedy-anderson-subordinatemanagergendercombinationandperceivedleadershipstyleinfluenceonemotionsselfesteemandorganizationalcommitment-2005\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mccollkennedy-anderson-subordinatemanagergendercombinationandperceivedleadershipstyleinfluenceonemotionsselfesteemandorganizationalcommitment-2005')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Subordinate–manager gender combination and perceived leadership style influence on emotions, self-esteem and organizational commitment},\n type = {article},\n year = {2005},\n keywords = {Bayesian networks,Frustration,Gender combinations,Leadership style,Optimism,Organization-based self-esteem,Organizational commitment},\n pages = {115-125},\n volume = {58},\n websites = {http://www.sciencedirect.com/science/article/pii/S0148296303001127},\n month = {2},\n id = {53659ab5-093e-302a-897a-038084a311fc},\n created = {2015-04-12T21:20:17.000Z},\n accessed = {2015-04-11},\n file_attached = {false},\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\n last_modified = {2017-03-14T14:39:39.366Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {A theoretical model was developed to investigate the relationships among subordinate–manager gender combinations, perceived leadership style, experienced frustration and optimism, organization-based self-esteem and organizational commitment. The model was tested within the context of a probabilistic structural model, a discrete Bayesian network, using cross-sectional data from a global pharmaceutical company. The Bayesian network allowed forward inference to assess the relative influence of gender combination and leadership style on the emotions, self-esteem and commitment consequence variables. Further, diagnostics from backward inference were used to assess the relative influence of variables antecedent to organizational commitment. The results showed that gender combination was independent of leadership style and had a direct impact on subordinates&#x27; levels of frustration and optimism. Female manager–female subordinate had the largest probability of optimism, while male manager teamed with a male subordinate had the largest probability of frustration. Furthermore, having a female manager teamed up with a male subordinate resulted in the lowest possibility of frustration. However, the findings show that the gender issue is not simply female managers versus male managers, but is concerned with the interaction of the subordinate–manager gender combination and leadership style in a nonlinear manner.},\n bibtype = {article},\n author = {McColl-Kennedy, Janet R. and Anderson, Ronald D.},\n doi = {10.1016/S0148-2963(03)00112-7},\n journal = {Journal of Business Research},\n number = {2}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  A theoretical model was developed to investigate the relationships among subordinate–manager gender combinations, perceived leadership style, experienced frustration and optimism, organization-based self-esteem and organizational commitment. The model was tested within the context of a probabilistic structural model, a discrete Bayesian network, using cross-sectional data from a global pharmaceutical company. The Bayesian network allowed forward inference to assess the relative influence of gender combination and leadership style on the emotions, self-esteem and commitment consequence variables. Further, diagnostics from backward inference were used to assess the relative influence of variables antecedent to organizational commitment. The results showed that gender combination was independent of leadership style and had a direct impact on subordinates' levels of frustration and optimism. Female manager–female subordinate had the largest probability of optimism, while male manager teamed with a male subordinate had the largest probability of frustration. Furthermore, having a female manager teamed up with a male subordinate resulted in the lowest possibility of frustration. However, the findings show that the gender issue is not simply female managers versus male managers, but is concerned with the interaction of the subordinate–manager gender combination and leadership style in a nonlinear manner.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2001\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2001')\"\n      onkeypress=\"toggleGroup('group_2001')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2001</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"marcot-holthausen-raphael-rowland-wisdom-usingbayesianbeliefnetworkstoevaluatefishandwildlifepopulationviabilityunderlandmanagementalternativesfromanenvironmentalimpactstatement-2001\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0378112701004522\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'marcot-holthausen-raphael-rowland-wisdom-usingbayesianbeliefnetworkstoevaluatefishandwildlifepopulationviabilityunderlandmanagementalternativesfromanenvironmentalimpactstatement-2001', 'http://www.sciencedirect.com/science/article/pii/S0378112701004522', event);\">\n    Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Marcot,  B., G.; Holthausen,  R., S.; Raphael,  M., G.; Rowland,  M., M.;  and Wisdom,  M., J.\n</span>\n\n  \n\n</span>\n\n  <i>Forest Ecology and Management</i>, 153(1-3): 29-42. 10 2001.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0378112701004522\"\n     onclick=\"log_download('marcot-holthausen-raphael-rowland-wisdom-usingbayesianbeliefnetworkstoevaluatefishandwildlifepopulationviabilityunderlandmanagementalternativesfromanenvironmentalimpactstatement-2001', 'http://www.sciencedirect.com/science/article/pii/S0378112701004522', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/S0378-1127(01)00452-2\"\n     onclick=\"log_download('marcot-holthausen-raphael-rowland-wisdom-usingbayesianbeliefnetworkstoevaluatefishandwildlifepopulationviabilityunderlandmanagementalternativesfromanenvironmentalimpactstatement-2001', 'http://doi.org/10.1016/S0378-1127(01)00452-2', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/marcot-holthausen-raphael-rowland-wisdom-usingbayesianbeliefnetworkstoevaluatefishandwildlifepopulationviabilityunderlandmanagementalternativesfromanenvironmentalimpactstatement-2001\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('marcot-holthausen-raphael-rowland-wisdom-usingbayesianbeliefnetworkstoevaluatefishandwildlifepopulationviabilityunderlandmanagementalternativesfromanenvironmentalimpactstatement-2001')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement},\n type = {article},\n year = {2001},\n keywords = {Bayesian belief networks,Bayesian statistics,Columbia River,Fish modeling,Interior Columbia basin,Population viability,Wildlife modeling},\n pages = {29-42},\n volume = {153},\n websites = {http://www.sciencedirect.com/science/article/pii/S0378112701004522},\n month = {10},\n id = {b78c14c9-7395-3149-9c84-f02c9314edae},\n created = {2015-04-12T19:47:10.000Z},\n accessed = {2015-04-11},\n file_attached = {false},\n profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},\n group_id = {5efe986e-978a-3009-a061-88cca2e117b0},\n last_modified = {2017-03-14T14:39:39.366Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {We developed procedures for using Bayesian belief networks (BBNs) to model habitat and population viability of selected at-risk fish and wildlife species. The BBN models represent the ecological causal web of key environmental correlates (KECs) that most influence habitat capability, potential population response for each species, and influence of habitat planning alternatives. BBN models represent site-specific KECs, habitat capability at the subwatershed level, and pattern of habitat capability across all subwatersheds. BBNs use Dirichlet prior probability distributions and standard Bayesian updating of posterior probabilities. We derived estimates of prior and conditional probabilities from a mix of empirical data and expert judgment, mostly the latter. Sensitivity analyses identified planning decisions and KECs that most influence species outcomes, and can help prioritize monitoring activities. BBN models, however, substitute for neither field studies nor empirical, quantitative population viability analyses of population demography and genetics.},\n bibtype = {article},\n author = {Marcot, Bruce G and Holthausen, Richard S and Raphael, Martin G and Rowland, Mary M and Wisdom, Michael J},\n doi = {10.1016/S0378-1127(01)00452-2},\n journal = {Forest Ecology and Management},\n number = {1-3}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  We developed procedures for using Bayesian belief networks (BBNs) to model habitat and population viability of selected at-risk fish and wildlife species. The BBN models represent the ecological causal web of key environmental correlates (KECs) that most influence habitat capability, potential population response for each species, and influence of habitat planning alternatives. BBN models represent site-specific KECs, habitat capability at the subwatershed level, and pattern of habitat capability across all subwatersheds. BBNs use Dirichlet prior probability distributions and standard Bayesian updating of posterior probabilities. We derived estimates of prior and conditional probabilities from a mix of empirical data and expert judgment, mostly the latter. Sensitivity analyses identified planning decisions and KECs that most influence species outcomes, and can help prioritize monitoring activities. BBN models, however, substitute for neither field studies nor empirical, quantitative population viability analyses of population demography and genetics.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n  </div>\n\n\n  <!-- Modal -->\n\n  <!-- <iframe id=\"bibbase_network_frame\" -->\n  <!--         src=\"//bibbase.org/network/control\" -->\n  <!--         style=\"display: none;\"> -->\n  <!-- </iframe> -->\n\n</div>\n"}; document.write(bibbase_data.data);