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  2023 (4)
PM 2.5 Forecasting Model based on Linear and Non-linear Hybrid Algorithm. Banjongkan, A.; Kerdprasop, N.; Hirunyawanakul, A.; and Kerdprasop, K. In 2023 15th International Conference on Knowledge and Smart Technology (KST), pages 1–6, 2023. IEEE
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Renewable Energy Forecasting with Hybrid Nonlinear Model (ANFIS): Case Study of Wind Speed in Thailand. Banjongkan, A.; Kerdprasop, N.; and Kerdprasop, K. . 2023.
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Smoke Detection with Ensemble Modeling. Teerarassamee, P.; Chanklan, R.; Kerdprasop, K.; and Kerdprasop, N. International Journal of Modeling and Optimization, 13(2). 2023.
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Systematic Configuration for Hyperparameters Optimization in Transferring of CNN Model to Disaster Events Classification from UAV Images. Bunrit, S.; Kerdprasop, N.; and Kerdprasop, K. Journal of Image and Graphics, 11(3). 2023.
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  2022 (2)
The Search for Areas with High Solar Energy Based on Clustering Analysis. Soisom, I.; Kerdprasop, K.; and Kerdprasop, N. In Proceedings of the 2022 5th Artificial Intelligence and Cloud Computing Conference, pages 78–82, 2022.
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Food Production Forecasting with Time Series and Ensemble Modeling Methods. Kerdprasop, K.; Chuaybamroong, P.; and Kerdprasop, N. In Proceedings of the 2022 5th Artificial Intelligence and Cloud Computing Conference, pages 59–65, 2022.
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  2021 (5)
Development of a model for predicting the direction of daily price changes in the Forex market using Long Short-Term Memory. Pongsena, W.; Sitsayabut, P.; Kerdprasop, N.; and Kerdprasop, K. International Journal of Machine Learning and Computing, 11(1): 61–67. 2021.
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Machine learning versus deep learning performances on the sentiment analysis of product reviews. Poomka, P.; Kerdprasop, N.; and Kerdprasop, K. International Journal of Machine Learning and Computing, 11(2): 103–109. 2021.
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Real-Time Human Detection in a Restricted Area for Safety in Truck Dumper Control System Using Deep Learning. Worrakantapon, A.; Pongsena, W.; Kerdprasop, K.; and Kerdprasop, N. . 2021.
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The Study of Noise Effect on CNN-Based Deep Learning from Medical Images. Sriwong, K.; Kerdprasop, K.; and Kerdprasop, N. Int. J. Mach. Learn. Comput, 11: 202–207. 2021.
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A Study of Job Failure Prediction at Job Submit-State and Job Start-State in High-Performance Computing System: Using Decision Tree Algorithms [J]. Banjongkan, A.; Pongsena, W.; Kerdprasop, N.; and Kerdprasop, K. Journal of Advances in Information Technology, 12(2). 2021.
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  2020 (10)
B2B marketing crafts intelligence commerce: How a Chatbot is designed for the Taiwan agriculture service. Chen, A. P. S.; Chansilp, K; Kerdprasop, K; Chuaybamroong, P; Kerdprasop, N; Shun-Fa, H; and Kaium, M. International Journal of e-Education, e-Business, e-Management and e-Learning, 10(2): 114–124. 2020.
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On Modeling Smoke-Haze Incidence with Cluster and Regression Analyses. Chansilp, K.; Chuaybamroong, P.; Kerdprasop, K.; and Kerdprasop, N. International Journal of Machine Learning and Computing, 10(6). 2020.
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A Computational Method to Assess Post-operative Risk of Lung Cancer Patients. Sriwong, K.; Kerdprasop, K.; Chuaybamroong, P.; and Kerdprasop, N. International Journal of Modeling and Optimization, 10(5). 2020.
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Feature selection to improve performance of yield prediction in hard disk drive manufacturing. Hirunyawanakul, A.; Kaoungku, N.; Kerdprasop, N.; and Kerdprasop, K. Int. J. Electr. Electron. Eng. Telecommun., 9: 420–428. 2020.
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Improving the representation of cnn based features by autoencoder for a task of construction material image classification. Bunrit, S; Kerdprasop, N; and Kerdprasop, K Journal of Advances in Information Technology, 11(4). 2020.
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A Multi-criteria Scheme to Build Model Ensemble for Dengue Infection Case Estimation. Kerdprasop, N.; Kerdorasop, K.; and Chuaybamroong, P. In 2020 International Conference on Decision Aid Sciences and Application (DASA), pages 214–218, 2020. IEEE
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A comparative study of learning techniques with convolutional neural network based on HPC-workload dataset. Banjongkan, A.; Pongsena, W.; Kerdprasop, N.; and Kerdprasop, K. International Journal of Machine Learning and Computing, 10(1): 10–17. 2020.
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Economic and environmental analysis of life expectancy in China and India: A data driven approach. Kerdprasop, N.; Kerdprasop, K.; and Chuaybamroong, P. Advances in Science, Technology and Engineering Systems Journal, 5(5): 308–313. 2020.
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Efficient Machine Learning Methods for Hard Disk Drive Yield Prediction Improvement. Hirunyawanakul, A.; Kerdprasop, N.; and Kerdprasop, K. International Journal of Machine Learning and Computing, 10(2): 240–246. 2020.
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Deep Learning for Financial Time-Series Data Analytics: An Image Processing Based Approach. Pongsena, W.; Ditsayabut, P.; Kerdprasop, N.; and Kerdprasop, K. International Journal of Machine Learning and Computing, 10(1): 51–56. 2020.
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  2019 (15)
The Use of Spaceborne and Oceanic Sensors to Model Dengue Incidence in the Outbreak Surveillance System. Kerdprasop, K.; Kerdprasop, N.; Chansilp, K.; and Chuaybamroong, P. In International Conference on Computational Science and Its Applications, pages 447–460, 2019. Springer International Publishing Cham
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Anomaly detection with machine learning technique to support smart logistics. Kerdprasop, N.; Chansilp, K.; Kerdprasop, K.; and Chuaybamroong, P. In International Conference on Computational Science and Its Applications, pages 461–472, 2019. Springer International Publishing Cham
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Improvement the imbalanced data classification with restarting genetic algorithm for support vector machine algorithm. Suksut, K.; Kaoungku, N.; Kerdprasop, K.; and Kerdprasop, N. International Journal of Future Computer and Communication, 8(2): 63–67. 2019.
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SMS spam detection based on long short-term memory and gated recurrent unit. Poomka, P.; Pongsena, W.; Kerdprasop, N.; and Kerdprasop, K. International Journal of Future Computer and Communication, 8(1): 11–15. 2019.
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Evaluating on the transfer learning of CNN architectures to a construction material image classification task. Bunrit, S.; Kerdprasop, N.; and Kerdprasop, K. Int. J. Mach. Learn. Comput, 9(2): 201–207. 2019.
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The One-Versus-One Classification Technique Based on Data Synthesis with Appropriate Distant Neighbors. Chujai, P.; Chaiyakhan, K.; Kerdprasop, N.; and Kerdprasop, K. International Journal of Information and Electronics Engineering, 9(2). 2019.
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Text-independent speaker identification using deep learning model of convolution neural network. Bunrit, S.; Inkian, T.; Kerdprasop, N.; and Kerdprasop, K. International Journal of Machine Learning and Computing, 9(2): 143–148. 2019.
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Dermatological classification using deep learning of skin image and patient background knowledge. Sriwong, K.; Bunrit, S.; Kerdprasop, K.; and Kerdprasop, N. International Journal of Machine Learning and Computing, 9(6): 862–867. 2019.
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Ensemble Modeling Method to Predict Life Expectancy of Population in High-Income Countries: Japan and Finland. Kerdprasop, N.; Kerdprasop, K.; and Chuaybamroong, P. In 2019 25th Conference of Open Innovations Association (FRUCT), pages 153–161, 2019. IEEE
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Colorectal Cancer Histology Image Classification Using Stacked Ensembles. Kaoungku, N.; Kerdprasop, K.; Kerdprasop, N.; Chanklan, R.; and Suksut, K. Int. J. Futur. Comput. Commun., 8(3): 104–108. 2019.
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Classification of Melanoma Considering the Adaptive Additional Shape Feature. Chaiyakhan, K; Chujai, P; Chanklan, R; and Kerdprasop, N International Journal of Future Computer and Communication, 8(4). 2019.
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Deep learning technique for improving the recognition of handwritten signature. Hirunyawanakul, A.; Bunrit, S.; Kerdprasop, N.; and Kerdprasop, K. Int. J. Inform. Electron. Eng, 9(4). 2019.
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Categorical Modeling Method to Analyze Factors Relating to Longevity of Populations in the East and Southeast Asia. Kerdprasop, N.; Kerdprasop, K.; and Chuaybamroong, P. In Proceedings of the 2019 2nd Artificial Intelligence and Cloud Computing Conference, pages 14–19, 2019.
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Forecasting Dengue Incidence with the Chi-squared Automatic Interaction Detection Technique. Kerdprasop, K.; Kerdprasop, N.; and Chuaybamroong, P. In Proceedings of the 2019 2nd Artificial Intelligence and Cloud Computing Conference, pages 37–42, 2019.
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Temporal Evaluation of Adaptive Neuro-Fuzzy Inference System for Rainfall Time Series Modeling. Kerdprasop, K.; Kerdprasop, N.; and Chuaybamroong, P. In Conference of Open Innovations Association, FRUCT, pages 477–482, 2019. FRUCT Oy
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  2018 (13)
Development model for predict runoff in Mun basin. Chanklan, R.; Chaiyakhan, K.; Kerdprasop, N.; and others . 2018.
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The silhouette width criterion for clustering and association mining to select image features. Kaoungku, N.; Suksut, K.; Chanklan, R.; Kerdprasop, K.; and Kerdprasop, N. International journal of machine learning and computing, 8(1): 69–73. 2018.
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An analysis of the co-movement of price change volatility in forex market. Pongsena, W.; Ditsayabut, P.; Kerdprasop, N.; and Kerdprasop, K. In World Congress on Engineering, London, UK, July, pages 4–6, 2018.
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Post-operative life expectancy of lung cancer patients predicted by Bayesian network model. Sriwong, K.; Kerdprasop, K.; and Kerdprasop, N. International Journal of Machine Learning and Computing, 8(3): 280–285. 2018.
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Forest Fire Area Estimation using Support Vector Machine as an Approximator. Kerdprasop, N.; Poomka, P.; Chuaybamroong, P.; and Kerdprasop, K. In IJCCI, pages 269–273, 2018.
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Modeling Method for Temperature Anomaly Analysis. Kerdprasop, K.; Chuaybamroong, P.; and Kerdprasop, N. In IJCCI, pages 274–280, 2018.
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Runoff prediction with a combined artificial neural network and support vector regression. Chanklan, R.; Kaoungku, N.; Suksut, K.; Kerdprasop, K.; and Kerdprasop, N. International Journal of Machine Learning and Computing, 8(1): 39–43. 2018.
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Application of remote sensing data for dengue outbreak estimation using Bayesian network. Ruangudomsakul, C.; Duangsin, A.; Kerdprasop, K.; and Kerdprasop, N. Int. J. Mach. Learn. Comput, 8: 394–398. 2018.
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Developing a forex expert advisor based on Japanese candlestick patterns and technical trading strategies. Pongsena, W.; Ditsayabut, P.; Panichkul, P.; Kerdprasop, N.; and Kerdprasop, K. International Journal of Trade, Economics and Finance, 9(6): 238–243. 2018.
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Multiresolution analysis based on wavelet transform for commodity prices time series forecasting. Bunrit, S.; Kerdprasop, N.; and Kerdprasop, K. International Journal of Machine Learning and Computing, 8(2): 175–180. 2018.
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Deep autoencoder networks optimized with genetic algorithms for efficient ECG clustering. Thinsungnoen, T.; Kerdprasop, K.; and Kerdprasop, N. International Journal of Machine Learning and Computing, 8(2): 112–116. 2018.
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Classification and regression tree with resampling for classifying imbalanced data. Boonamnuay, S.; Kerdprasop, N.; and Kerdprasop, K. International Journal of Machine Learning and Computing, 8(4): 336–340. 2018.
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A Novel Heuristic Method for Misclassification Cost Tuning in Imbalanced Data. Hirunyawanakul, A.; Kerdprasop, N.; and Kerdprasop, K. International Journal of Machine Learning and Computing, 8(6): 565–570. 2018.
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  2017 (16)
Hourly Ground-level Ozone Concentration Prediction using Support Vector Regression. Chaiyakhan, K.; Chujai, P.; Kerdprasop, N.; and Kerdprasop, K. In International MultiConference of Engineers and Computer Scientists, volume 1, 2017.
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A cluster based classification of imbalanced data with overlapping regions between classes. Chujai, P.; Chomboon, K.; Chaiyakhan, K.; Kerdprasop, K.; and Kerdprasop, N. In Proceedings of the International MultiConference of Engineers and Computer Scientists, volume 1, pages 15–17, 2017.
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A Hybrid Modeling Technique to Predict Runoff. Chanklan, R.; Chaiyakhan, K.; Kerdprasop, K.; and Kerdprasop, N. International Journal of Modeling and Optimization, 7(2): 60. 2017.
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The forecast of PM10 Pollutant by using a hybrid model. Chuentawat, R.; Kerdprasop, N.; and Kerdprasop, K. International journal of future computer and communication, 6(3): 128. 2017.
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A deep learning of time series for efficient analysis. Thinsungnoen, T.; Kerdprasop, K.; and Kerdprasop, N. International Journal of Future Computer and Communication, 6(3): 123. 2017.
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A method to clustering the feature ranking on data classification using an ensemble feature selection. Kaoungku, N.; Kerdprasop, K.; and Kerdprasop, N. International Journal of Future Computer and Communication, 6(3): 81–85. 2017.
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Support vector machine with restarting genetic algorithm for classifying imbalanced data. Suksut, K.; Kerdprasop, K.; and Kerdprasop, N. International Journal of Future Computer and Communication, 6(3): 92–96. 2017.
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Trading decision models based on the index movement analysis of East Asian stock exchange market. Kerdprasop, K.; and Kerdprasop, N. Review of Integrative Business and Economics Research, 6: 92–101. 2017.
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Data classification based on feature selection with association rule mining. Kaoungku, N.; Suksut, K.; Chanklan, R.; Kerdprasop, K.; and Kerdprasop, N. In International MultiConference of Engineers and Computer Scientists, Hong Kong, 2017.
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Parameter optimization for mammogram image classification with support vector machine. Suksut, K.; Chanklan, R.; Kaoungku, N.; Chaiyakhan, K.; Kerdprasop, N.; and Kerdprasop, K. In Proceedings of the International MultiConference of Engineers and Computer Scientists, volume 1, 2017.
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On applying regression and neural network to predict rainfall using satellite based index. Chanklan, R.; Suksut, K.; Chaiyakhan, K.; Kaoungku, N.; Kerdprasop, K.; and Kerdprasop, N. In Proceedings of the international multi conference of engineers and computer scientists, Hong Kong, China, 2017.
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The study of vegetation greenness patterns through time series clustering of remotely sensed data. Kerdprasop, K.; and Kerdprasop, N. In 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA), pages 1990–1995, 2017. IEEE
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Association of economic and environmental factors to life expectancy of people in the Mekong basin. Kerdprasop, N.; and Kerdprasop, K. In 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA), pages 1984–1989, 2017. IEEE
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Greenness Pattern Analysis with the Remote Sensing Index Clustering. Kerdprasop, N.; Chansilp, K.; and Kerdprasop, K. International Journal of Machine Learning and Computing, 7(6). 2017.
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Parameter Optimization with Restarting Genetic Algorithm for the Forest Type Classification. Suksut, K.; Kaoungku, N.; Kerdprasop, N.; and Kerdprasop, K. International Journal of Machine Learning and Computing, 7(6). 2017.
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The improvement of support vector regression to forecast time series. Kaewwijit, T; Kerdprasop, N; Kerdprasop, K; and others Journal of Science and Technology Mahasarakham University, 36(4): 452–458. 2017.
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  2016 (12)
An investigation on the correlation of learner styles and learning objects characteristics in a proposed Learning Objects Management Model (LOMM). Wanapu, S.; Fung, C. C.; Kerdprasop, N.; Chamnongsri, N.; and Niwattanakul, S. Education and Information Technologies, 21: 1113–1134. 2016.
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Artificial neural networks and time series models for electrical load analysis. Chuentawat, R.; Bunrit, S.; Ruangudomsakul, C.; Kerdprasop, N.; and Kerdprasop, K. vol. I. 2016.
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Neural network-based analysis of precipitation and remotely sensed data. Bunrit, S.; Chanklan, R.; Boonamnuay, S.; Kerdprasop, N.; and Kerdprasop, K. In Proceedings of the International MultiConference of Engineers and Computer Scientists, volume 1, 2016.
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Feature selection techniques for breast cancer image classification with support vector machine. Chaiyakhan, K.; Kerdprasop, N.; and Kerdprasop, K. In Proceedings of the International Multiconference of Engineers and Computer Scientists, volume 1, pages 1–6, 2016.
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Regression tree analysis of CO 2 emissions and environmental factors to the survival rate of population in Thailand and China. Kerdprasop, N.; and Kerdprasop, K. In Proceedings of the International MultiConference of Engineers and Computer Scientists, volume 1, 2016.
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Rainfall estimation models induced from ground station and satellite data. Kerdprasop, K.; and Kerdprasop, N. In Proceedings of the International MultiConference of Engineers and Computer Scientists. IMECS, 2016.
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Geo-information knowledge base system for drought pattern search. Kerdprasop, K.; and Kerdprasop, N. In Computational Science and Its Applications–ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part III 16, pages 332–344, 2016. Springer International Publishing
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Remote sensing based model induction for drought monitoring and rainfall estimation. Kerdprasop, K.; and Kerdprasop, N. In Computational Science and Its Applications–ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part III 16, pages 356–368, 2016. Springer International Publishing
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Mammography image classification and clustering using support vector machine and k-means. Chaiyakhan, K.; Kerdprasop, N.; and Kerdprasop, K. An International Journal of Research and Surveys, 7(5): 961–967. 2016.
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THE FORECAST OF ELECTRICAL POWER DISTRIBUTION UNIT USING SUPPORT VECTOR REGRESSION OPTIMIZED WITH GENETIC ALGORITHM. Chuentawat, R.; Kerdprasop, K.; and Kerdprasop, N. Suranaree Journal of Science & Technology, 23(3). 2016.
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A short term co-movement detection of financial data. Kerdprasop, K.; and Kerdprasop, N. In 2016 2nd IEEE International Conference on Computer and Communications (ICCC), pages 42–45, 2016. IEEE
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Remote sensing based modeling of dengue outbreak with regression and binning classification. Kerdprasop, N.; and Kerdprasop, K. In 2016 2nd IEEE International Conference on Computer and Communications (ICCC), pages 46–49, 2016. IEEE
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  2015 (15)
Constraint-Based System for Genomic Analysis. Kerdprasop, N.; and Kerdprasop, K. International Journal of Information and Education Technology, 5(2): 119. 2015.
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An empirical study of distance metrics for k-nearest neighbor algorithm. Chomboon, K.; Chujai, P.; Teerarassamee, P.; Kerdprasop, K.; and Kerdprasop, N. In Proceedings of the 3rd international conference on industrial application engineering, volume 2, 2015.
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From educational data mining model to the automated knowledge based system construction. Kerdprasop, K.; and Kerdprasop, N. In 2015 8th International Conference on Ubi-Media Computing (UMEDIA), pages 186–191, 2015. IEEE
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Educational attainment trend analysis with the visual data mining tool. Kerdprasop, N.; and Kerdprasop, K. In 2015 8th International Conference on Ubi-Media Computing (UMEDIA), pages 180–185, 2015. IEEE
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A Tree-based Ensemble Learning of Minority Cases in the Imbalanced Data. Chujai, P.; Kerdprasop, N.; and Kerdprasop, K. Information: an international Interdisciplinary journal, 18(11): 4815–4835. 2015.
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Discretization Based on Chi2 Algorithm and Visualize Technique for Association Rule Mining. Kaoungku, N.; Thinsungnoen, T.; Durongdumrongchai, P.; Kerdprasop, K.; and Kerdprasop, N. In The 3rd International Conference on Industrial Application Engineering 2015 (ICIAE2015), 2015.
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Ensemble learning for imbalanced data classification problem. Chujai, P.; Chomboon, K.; Teerarassamee, P.; Kerdprasop, N.; and Kerdprasop, K. In Proceedings of the 3rd International Conference on Industrial Application Engineering (Nakhon Ratchasima), 2015.
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Query Answering Engine for the Next Generation Database Systems. Kerdprasop, N.; and Kerdprasop, K. . 2015.
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A MECHANISM TO DISCOVER AND INTEGRATE ASSOCIATION RULES FROM MULTIPLE SOURCES. Kaoungku, N.; Kerdprasop, K.; and Kerdprasop, N. Kasem Bundit Engineering Journal, 5(2): 1–14. 2015.
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The Compact Fuzzy Association Rules For Data Classification. Kongchai, P.; Suksut, K.; Sutamma, R.; Phoemhansa, S.; Kerdprasop, N.; and Kerdprasop, K. . 2015.
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On Comparing Feature Reduction Techniques for Accuracy Improvement of the k-NN Classification. Phoemhansa, S.; Suksut, K.; Kongchai, P.; Sutamma, R.; Kerdprasop, N.; and Kerdprasop, K. . 2015.
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A Knowledge-Oriented Framework for the New Age of Training and Learning Systems. Kerdprasop, K.; and Kerdprasop, N. . 2015.
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Fingerprint recognition with edge detection and dimensionality reduction techniques. Chanklan, R.; Chaiyakhan, K.; Hirunyawanakul, A.; Kerdprasop, K.; and Kerdprasop, N. In Proceedings of the 3rd International Conference on Industrial Application Engineering, Japan, 2015.
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Traffic sign classification using support vector machine and image segmentation. Chaiyakhan, K.; Hirunyawanakul, A.; Chanklan, R.; Kerdprasop, K.; and Kerdprasop, N. In Proc. Of the 3rd International Conference on Industrial Application Engineering, volume 10, 2015.
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Single Versus Multiple Measures for Fuzzy Association Rule Mining. Suksut, K.; Kongchai, P.; Phoemhansa, S.; Sutamma, R.; Kerdprasop, K.; and Kerdprasop, N. In 3rd International Conference on Industrial Application Engineering, volume 2015, pages 12–62, 2015.
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  2014 (11)
Data mining in semantic web data. Chomboon, K; Kaoungku, N; Kerdprasop, K; and Kerdprasop, N International Journal of Computer Theory and Engineering, 6(6): 472. 2014.
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Tool Fault Analysis with Decision Tree Induction and Sequence Mining. Kerdprasop, K.; and Kerdprasop, N. Applied Mechanics and Materials, 548: 703–707. 2014.
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Top-k Ranking with Membership Function for Deductive Database. Suksut, K.; Chujai, P.; Kerdprasop, N.; and Kerdprasop, K. International Journal of Computer Theory and Engineering, 6(6): 500. 2014.
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The Fuzzy Search for Association Rules with Interestingness Measure. Kongchai, P.; Kerdprasop, N.; and Kerdprasop, K. International Journal of Computer Theory and Engineering, 6(6): 490. 2014.
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On transforming the ER model to ontology using protégé OWL tool. Chujai, P.; Kerdprasop, N.; and Kerdprasop, K. International Journal of Computer Theory and Engineering, 6(6): 484. 2014.
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A technique to association rule mining on multiple datasets. Kaoungku, N.; Kerdprasop, K.; and Kerdprasop, N. Electrical Engineering and Information Technology, 63: 241. 2014.
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Feature Selection Technique to Improve Performance Prediction in a Wafer Fabrication Process. Kerdprasop, K.; and Kerdprasop, N. Latest Trends in Engineering Mechanics, Structures, Engineering Geology,128–133. 2014.
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An empirical study of dimensionality reduction methods for biometric recognition. Kerdprasop, N.; Chanklan, R.; Hirunyawanakul, A.; and Kerdprasop, K. In 2014 7th International Conference on Security Technology, pages 26–29, 2014. IEEE
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The discovery of Top-K DNA frequent patterns with approximate method. Kerdprasop, N.; and Kerdprasop, K. Malaysian Journal of Computing (MJoC), 2(2): 1–12. 2014.
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Visual knowledge mining and utilization in the inductive expert system. Kerdprasop, N.; and Kerdprasop, K. Int. J. Computers, 8: 157–165. 2014.
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Tool sequence analysis and performance prediction in the wafer fabrication process. Kerdprasop, K.; and Kerdprasop, N. International Journal of Systems Applications, Engineering & Development, 8: 268–276. 2014.
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  2013 (15)
Constraint mining in business intelligence: a case study of customer churn prediction. Kerdprasop, N.; Kongchai, P.; and Kerdprasop, K. International Journal of Multimedia and Ubiquitous Engineering, 8(3): 11–20. 2013.
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Time series analysis of household electric consumption with ARIMA and ARMA models. Chujai, P.; Kerdprasop, N.; and Kerdprasop, K. In Proceedings of the international multiconference of engineers and computer scientists, volume 1, pages 295–300, 2013. IAENG Hong Kong
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Cluster-based sequence analysis of complex manufacturing process. Kerdprasop, K.; and Kerdprasop, N. In Proceedings of the International Multi-Conference of Engineers and Computer Scientists, 2013.
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The Development of Expert System Shell with Constraint-Based Programming. Kerdprasop, N.; Intharachatorn, K.; and Kerdprasop, K. . 2013.
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Querying with Constraints over a Decision Tree Model. Kerdprasop, N.; Koongaew, F.; and Kerdprasop, K. . 2013.
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Building and Querying a Decision Tree Model with Constraint Logic Programming. Kerdprasop, N.; Koongaew, F.; and Kerdprasop, K. International Journal of Software Engineering and Its Applications, 7(5): 269–282. 2013.
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Prototyping an expert system shell with the logic-based approach. Kerdprasop, N.; Intharachatorn, K.; and Kerdprasop, K. International Journal of Smart Home, 7(4): 161–174. 2013.
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Performance analysis of complex manufacturing process with sequence data mining technique. Kerdprasop, K.; and Kerdprasop, N. International Journal of Control and Automation, 6(3): 301–311. 2013.
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Rare class discovery techniques for highly imbalance data. Chomboon, K.; Kerdprasop, K.; and Kerdprasop, N. In Proc. International multi conference of engineers and computer scientists, volume 1, 2013.
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Concurrent data mining and genetic computing implemented with Erlang Language. Kerdprasop, K.; and Kerdprasop, N. International Journal of Software Engineering and Its Applications, 7(3): 63–76. 2013.
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Discretization and imputation techniques for quantitative data mining. Kaoungku, N.; Chinthaisong, P.; Kerdprasop, K.; and Kerdprasop, N. In Proceedings of the International MultiConference of Engineers and Computer Scientists, volume 1, pages 1–4, 2013.
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Sequence Analysis Technique to Detect Performance Patterns in Complex Manufacturing Process. Kerdprasop, K.; and Kerdprasop, N. . 2013.
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Dissimilar rule mining and ranking technique for associative classification. Kongchai, P.; Kerdprasop, N.; and Kerdprasop, K. In Proceedings of the International MultiConference of Engineers and Computer Scientists, volume 1, 2013.
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Improving Rare Case Prediction with Replication Technique. Kerdprasop, N.; Koongaew, F.; Budsabong, Z.; Kongchai, P.; and Kerdprasop, K. International Journal of Computer Science Issues (IJCSI), 10(2): 415. 2013.
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Knowledge Engineering Process for a Rapid Prototyping of Inductive Expert System. Kerdprasop, N.; and Kerdprasop, K. International Journal of Computer Science Issues (IJCSI), 10(2): 408. 2013.
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  2012 (12)
Bridging data mining model to the automated knowledge base of biomedical informatics. Kerdprasop, K.; and Kerdprasop, N. International Journal of Bio-science and Bio-technology, 4(1): 13. 2012.
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Classification model induction for student recruiting. Naenudorn, E.; Singthongchai, J.; Kerdprasop, N.; and Kerdprasop, K. Latest Advances in Educational Technologies,117–122. 2012.
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On the generation of accurate predictive model from highly imbalanced data with heuristics and replication techniques. Kerdprasop, N.; and Kerdprasop, K. International journal of bio-science and bio-technology, 4(1): 49–64. 2012.
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A Robust Tree Induction Method Based on Heuristics and Cluster Analysis. Kerdprasop, N.; and Kerdprasop, K. International Journal of Database Theory and Application, 5(2): 17–34. 2012.
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A multi-threading in prolog to implement K-mean clustering. Taokok, S.; Pongpanich, P.; Kerdprasop, N.; and Kerdprasop, K. Latest Advances in Systems Science and Computational Intelligence,120–126. 2012.
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Automatic knowledge acquisition tool to support intelligent manufacturing systems. Kerdprasop, K.; and Kerdprasop, N. Advanced Science Letters, 13(1): 199–202. 2012.
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Concurrent computation for genetic algorithms. Kerdprasop, K.; and Kerdprasop, N. In Proceedings of the 1st International Conference on Software Technology, pages 79–84, 2012.
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Semantic-based Query Answering Supported by Association Patterns and Materialized Views. Kerdprasop, N.; and Kerdprasop, K. International Journal of Database Theory and Application, 5(1): 135–156. 2012.
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Pattern Mining and Querying in Business Intelligence. Kerdprasop, N.; Koongaew, F.; Kongchai, P.; and Kerdprasop, K. Information Science and Industrial Applications,73. 2012.
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Knowledge Mining in Higher Education. Kerdprasop, N.; Naenudorn, E.; Singthongchai, J.; Yathongchai, W.; Yathongchai, C.; and Kerdprasop, K. International Journal of Mathematical Models and Methods in Applied Sciences, 6(7): 861–872. 2012.
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Comparison of feature selection and classification algorithms for restaurant dataset classification. Chatcharaporn, K.; Kittidachanupap, N.; Kerdprasop, K.; and KERDPRASOP, N. In Proceedings of the 11th Conference on Latest Advances in Systems Science & Computational Intelligence, pages 129–134, 2012.
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Declarative Parallelized Techniques for K-Means Data Clustering. Kerdprasop, K.; Taokok, S.; and Kerdprasop, N. International Journal Of Mathematics And Computers In Simulation, 6(5): 483–495. 2012.
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  2011 (17)
A data mining approach to automate fault detection model development in the semiconductor manufacturing process. Kerdprasop, K.; and Kerdprasop, N. Int. J. Mech, 5(4): 336–344. 2011.
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Frequent pattern discovery with constraint logic programming. Kerdprasop, N.; and Kerdprasop, K. International Journal of Mathematical Models and Methods in Applied Sciences, 5(8): 1345–1353. 2011.
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Recognizing DNA splice sites with the frequent pattern mining technique. Kerdprasop, N.; and Kerdprasop, K. International Journal of Mathematical Models and Methods in Applied Sciences, 5(1): 87–94. 2011.
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Discrete decision tree induction to avoid overfitting on categorical data. Kerdprasop, N.; and Kerdprasop, K. Proceedings of the Mamectis/Nolasc/Control/Wamus, 11. 2011.
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Computational intelligence techniques to fault detection in the semiconductor manufacturing process. Kerdprasop, K.; and Kerdprasop, N. Applied Mechanics and Materials, 52: 1171–1176. 2011.
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Predicting rare classes of primary tumors with over-sampling techniques. Kerdprasop, N.; and Kerdprasop, K. In International Conference on Bio-Science and Bio-Technology, pages 151–160, 2011. Springer Berlin Heidelberg Berlin, Heidelberg
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Higher order programming to mine knowledge for a modern medical expert system. Kerdprasop, N.; and Kerdprasop, K. arXiv preprint arXiv:1107.4651. 2011.
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Clustering large datasets with apriori-based algorithm and concurrent processing. Thangsupachai, N.; Kitwatthanathawon, P.; Wanapu, S.; and Kerdprasop, N. In Proceedings of the International MultiConference of Engineers and Computer Scientists, volume 1, 2011.
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Functional dependency discovery via Bayes net analysis. Kerdprasop, N.; and Kerdprasop, K. Recent Researches in Computational Techniques, Non-Linear Systems and Control ISBN,978–1. 2011.
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A Heuristic-Based Decision Tree Induction Method for Noisy Data. Kerdprasop, N.; and Kerdprasop, K. In International Conference on Bio-Science and Bio-Technology, pages 1–10, 2011. Springer Berlin Heidelberg Berlin, Heidelberg
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Optimizing Database Queries with Materialized Views and Data Mining Models. Kerdprasop, N.; and Kerdprasop, K. In International Conference on Bio-Science and Bio-Technology, pages 11–20, 2011. Springer Berlin Heidelberg Berlin, Heidelberg
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Knowledge Mining and Managing: Emergent Tools and Technologies in Web-Based Intelligent Learning Environments. Kerdprasop, N. The Handbook of Emergent Technologies in Social Research,412. 2011.
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Parallelized Rough K-means Clustering with Erlang Programming. Chongnguluam, W.; Intharachatorn, K.; Sinahawattana, P.; and Kerdprasop, N. In Proceedings of the International MultiConference of Engineers and Computer Scientists, volume 2, 2011.
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The discovery of frequent patterns with logic and constraint programming. Kerdprasop, N.; and Kerdprasop, K. In Proceedings of the 13th WSEAS international conference on mathematical methods, computational techniques and intelligent systems, and 10th WSEAS international conference on non-linear analysis, non-linear systems and chaos, and 7th WSEAS international conference on dynamical systems and control, and 11th WSEAS international conference on Wavelet analysis and multirate systems: recent researches in computational techniques, non-linear systems and control, pages 198–203, 2011.
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Integrating inductive knowledge into the inference system of biomedical informatics. Kerdprasop, K.; and Kerdprasop, N. In International Conference on Bio-Science and Bio-Technology, pages 133–142, 2011. Springer Berlin Heidelberg Berlin, Heidelberg
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Data preparation techniques for improving rare class prediction. Kerdprasop, K.; and Kerdprasop, N. In Proceedings of the 13th WSEAS international conference on mathematical methods, computational techniques and intelligent systems, and 10th WSEAS international conference on non-linear analysis, non-linear systems and chaos, and 7th WSEAS international conference on dynamical systems and control, and 11th WSEAS international conference on Wavelet analysis and multirate systems: recent researches in computational techniques, non-linear systems and control, pages 204–209, 2011.
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The development of discrete decision tree induction for categorical data. Kerdprasop, N.; and Kerdprasop, K. International Journal of Mathematics and Computers in Simulations, 5(6): 499–509. 2011.
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  2010 (7)
Database reverse engineering based on association rule mining. Pannurat, N.; Kerdprasop, N.; and Kerdprasop, K. arXiv preprint arXiv:1004.3272. 2010.
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A lightweight method to parallel k-means clustering. Kerdprasop, K.; and Kerdprasop, N. International Journal of Mathematics and Computers in Simulation, 4(4): 144–153. 2010.
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Parallelization of k-means clustering on multi-core processors. Kerdprasop, K.; and Kerdprasop, N. In Proceedings of the 10th WSEAS international conference on Applied computer science, volume 10, pages 472–477, 2010.
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Approximate web database search based on Euclidean distance measurement. Sonnum, S.; Thaithieng, S.; Ano, S.; Kusolchu, K.; and Kerdprasop, N. In World Congress on Engineering 2012. July 4-6, 2012. London, UK., volume 2188, pages 702–706, 2010. International Association of Engineers
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Feature selection and boosting techniques to improve fault detection accuracy in the semiconductor manufacturing process. Kerdprasop, K.; and Kerdprasop, N. In World Congress on Engineering 2012. July 4-6, 2012. London, UK., volume 2188, pages 398–403, 2010. International Association of Engineers
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A high recall DNA splice site prediction based on association analysis. Kerdprasop, N.; and Kerdprasop, K. In International conference on applied computer science proceedings, 2010.
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Autonomous Integration of Induced Knowledge into the Expert System Inference Engine. Kerdprasop, N.; and Kerdprasop, K. In World Congress on Engineering 2012. July 4-6, 2012. London, UK., volume 2188, pages 90–95, 2010. International Association of Engineers
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  2009 (5)
Knowledge induction from medical databases with higher-order programming. Kerdprasop, N.; and Kerdprasop, K. WSEAS Transactions on Information Science and Applications, 6(10): 1719–1728. 2009.
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SUT-Miner: a knowledge mining and managing system for medical databases. Kerdprasop, K.; and Kerdprasop, N. In 2009 20th International Workshop on Database and Expert Systems Application, pages 318–322, 2009. IEEE
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Improving Medical Database Consistency with Induced Trigger Rules. Kerdprasop, N.; Pilabutr, S.; and Kerdprasop, K. In New Advances in Intelligent Decision Technologies: Results of the First KES International Symposium IDT 2009, pages 265–274, 2009. Springer Berlin Heidelberg Berlin, Heidelberg
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Knowledge Mining with a Higher-Order Logic Approach. Kerdprasop, K.; and Kerdprasop, N. In New Advances in Intelligent Decision Technologies: Results of the First KES International Symposium IDT 2009, pages 151–159, 2009. Springer Berlin Heidelberg Berlin, Heidelberg
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Medical knowledge induction with higher-order horn clauses and meta-programming. Kerdprasop, N.; Pannurat, N.; and Kerdprasop, K. In WSEAS International Conference. Proceedings. Mathematics and Computers in Science and Engineering, 2009. WSEAS
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  2008 (5)
Decision rule induction in a learning content management system. Kerdprasop, N.; Muenrat, N.; and Kerdprasop, K. International Journal of Computer and Information Engineering, 2(3): 676–680. 2008.
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Knowledge mining in web-based learning environments. Kerdprasop, N.; and Kerdprasop, K. International Journal of Information and Communication Engineering, 2(3): 149–153. 2008.
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Intelligent Query Answering With Virtual Mining and Materialized Views. Kerdprasop, N.; Pannurat, N.; and Kerdprasop, K. World Academy of Science, Engineering and Technology, 48: 84–85. 2008.
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A DECLARATIVE PROGRAMMING PARADIGM AND THE DEVELOPMENT OF KNOWLEDGE MINING AGENTS. Kerdprasop, N.; and Kerdprasop, K. INTELLIGENT SYSTEMS AND AGENTS 2008,45. 2008.
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A Rough Set Approach To Personalization In Web-Based Learning Systems. Kerdprasop, K.; and Kerdprasop, N. In e-Learning, pages 60–67, 2008.
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  2007 (6)
Moving data mining tools toward a business intelligence system. Kerdprasop, N.; and Kerdprasop, K. International Journal of Computer and Information Engineering, 1(1): 44–49. 2007.
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Semantic knowledge integration to support inductive query optimization. Kerdprasop, N.; and Kerdprasop, K. In International Conference on Data Warehousing and Knowledge Discovery, pages 157–169, 2007. Springer Berlin Heidelberg Berlin, Heidelberg
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Mining frequent patterns with functional programming. Kerdprasop, N.; and Kerdprasop, K. International Journal of Computer and Information Engineering, 1(1): 124–129. 2007.
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On Pattern-Based Programming towards the Discovery of Frequent Patterns. Kerdprasop, K.; and Kerdprasop, N. International Journal of Computer Science, 2(4). 2007.
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Query Answering in Relational Inductive Databases. Kerdprasop, K.; Kerdprasop, N.; and Ritthongchailert, A. In 18th International Workshop on Database and Expert Systems Applications (DEXA 2007), pages 329–333, 2007. IEEE
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Approximate Frequent Pattern Discovery Over Data Stream. Kerdprasop, K.; and Kerdprasop, N. International Journal of Computer and Information Engineering, 1(11): 3439–3443. 2007.
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  2006 (2)
Density estimation technique for data stream classification. Kerdprasop, N.; and Kerdprasop, K. In 17th International Workshop on Database and Expert Systems Applications (DEXA'06), pages 662–666, 2006. IEEE
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A Monte Carlo method to data stream analysis. Kerdprasop, K.; Kerdprasop, N.; and Sattayatham, P. Enformatika Transactions on Engineering, Computing and Technology, 14: 240–245. 2006.
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  2005 (5)
Weighted k-means for density-biased clustering. Kerdprasop, K.; Kerdprasop, N.; and Sattayatham, P. In International conference on data warehousing and knowledge discovery, pages 488–497, 2005. Springer Berlin Heidelberg Berlin, Heidelberg
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Density-biased clustering based on reservoir sampling. Kerdprasop, K.; Kerdprasop, N.; and Sattayatham, P. In 16th International Workshop on Database and Expert Systems Applications (DEXA'05), pages 1122–1126, 2005. IEEE
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Density Biased Reservoir Sampling for Clustering. Kerdprasop, K.; Kerdprasop, N.; and Sun, J. In Artificial Intelligence and Applications, pages 95–100, 2005.
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Multiple principal component analyses and projective clustering. Kerdprasop, N.; and Kerdprasop, K. In 16th International Workshop on Database and Expert Systems Applications (DEXA'05), pages 1132–1136, 2005. IEEE
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Multiple principal component analyses and projective clustering. Nittaya, K. . 2005.
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  2004 (2)
The impact of noise at different data attributes. Kerdprasop, N. . 2004.
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The impact of noise at different data attributes. Nittaya, K. . 2004.
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  2003 (7)
Data partitioning for incremental data mining. Kerdprasop, N.; and Kerdprasop, K. In The 1st International Forum on Information and Computer Science, pages 114–118, 2003.
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A comparative study of techniques to handle missing values in the classification task of data mining. Kerdprasop, N.; Kerdprasop, K.; Saiveaw, Y.; and Pumrungreong, P. In 29th Congress on Science and Technology of Thailand, Khon Kaen University, Thailand, 2003.
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Knowledge discovery for trigger conflict resolution. Kerdprasop, K.; and Kerdprasop, N. In Proceedings of 1st international forum on information and computer technology, Shizuoka University, Hamamatsu, Japan, 2003.
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Enhancing the power of OLAP with knowledge discovery. Kerdprasop, N.; and Kerdprasop, K. In Proc. 7th Int. Conf. on Software Engineering and Applications, pages 43–47, 2003.
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Multi-agents in data filtering systems. Kerdprasop, K.; and Kerdprasop, N. In Proc. 7th Int. Conf. on Software Engineering and Applications, pages 471–475, 2003.
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Factor analysis with data mining technique in higher educational student drop out. Yathongchai, W.; Yathongchai, C.; Kerdprasop, K.; and Kerdprasop, N. Latest Advances in Educational Technologies. 2003.
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Using rough set theory for automatic data analysis. Potawat, V. . 2003.
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  2002 (1)
The perfoemance of learning algorithms on reduced data sets. Kittisak, K. . 2002.
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  2001 (2)
Knowledge Acquisition for View-based Query Processing. KERDPRASOP, K.; and KERDPRASOP, N. In Proceedings of the IASTED International Conference on Intelligent Systems and Control, pages 214–219, 2001.
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Knowledge acquisition for semantic query processing. Kittisak, K. . 2001.
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  2000 (3)
A New Approach to Active Rule Analysis and Reorganization. Kerdprasop, K.; and Kerdprasop, N. In Artificial Intelligence and Soft Computing, pages 178–184, 2000.
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Density-biased clustering based on reservoir sampling. Sattayatham, P.; Kerdprasop, K.; and Kerdprasop, N. . 2000.
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Weighted K-means for density-biased clustering. Sattayatham, P.; Kerdprasop, K.; and Kerdprasop, N. . 2000.
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  1999 (3)
The application of inductive logic programming to support semantic query optimization. Kerdprasop, N. . 1999.
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Relevant rule derivation for semantic query optimization. Sun, J. . 1999.
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Active database rule set reduction by knowledge discovery. Kerdprasop, K. . 1999.
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  1992 (1)
Bias Generator for View Discovery in Deductive Databases. Kerdprasop, N.; and Kerdprasop, K. . 1992.
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  undefined (20)
A Metaheuristic Method to Projective Clustering. Kerdprasop, K.; and Kerdprasop, N. . .
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Knowledge Discovery from Databases with Higher-order Predicates and Logic Programming. Kerdprasop, K.; and Kerdprasop, N. . .
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THE EFFECT OF SAMPLING TECHNIQUES TO ACCURACY ESTIMATION. Kerdprasop, K.; and Kerdprasop, N. . .
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WRAPPER AND FILTER APPROACHES TO FEATURE SELECTION IN DATA MINING. Kerdprasop, K.; Kerdprasop, N.; Mingmora, N.; and Wongprachanukul, N. . .
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F Rough Set FF. Potawat, V.; Sriwisut, K.; Sanpakdee, U.; Srisuriyachai, S.; Kerdprasop, N.; and Kerdprasop, K. . .
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Journal of Advances in Information Technology. Li, Q.; Ayob, A.; Kaoungku, N.; Kerdprasop, K.; Kerdprasop, N.; Prakash, A.; and Gautam, A. S. . .
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Examination Assessment Tool Implemented with Erlang K-means Clustering. Paveenaporn, S.; Pratumtri, V.; and Kerdprasop, N. . .
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Association Rule Discovery with Constraint Logic Programming. KONGCHAI, P.; KERDPRASOP, N.; and KERDPRASOP, K. . .
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Data classification techniques for cancer dataset. Kerdprasop, K. . .
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Analyzing Bayesian Network Structure to Discover Functional Dependencies. Kerdprasop, N.; and Kerdprasop, K. . .
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A Knowledge Mining Component for Computational Health Informatics. Kerdprasop, N.; and Kerdprasop, K. . .
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Rough Set Using Rough Set Theory for Automatic Data Analysis. Potawat, V.; Sriwisut, K.; Sanpakdee, U.; Srisuriyachai, S.; Kerdprasop, N.; Kerdprasop, K.; and Set, R. . .
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SUT Filter SUT Filter: A System for Data Preparation to Support Knowledge Discovery. Kerdprasop, K.; Kerdprasop, N.; Cherdchuchaitip, S.; Chutpimai, S.; RuenRueng, S.; and Chaisuekul, A. . .
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Classification Model Induction Based on User Preferences. KOONGAEW, F.; KERDPRASOP, N.; and KERDPRASOP, K. . .
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Stock Movement Modeling Based on the Analysis of Negative Correlation. Chansilp, K.; Kerdprasop, K.; Chuaybamroong, P.; and Kerdprasop, N. . .
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Bayes Net Analysis to Support Database Design and Normalization. Kerdprasop, N.; and Kerdprasop, K. . .
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Automated induction of frequent patterns with knowledge-based software engineering. Kerdprasop, K.; and Kerdprasop, N. Suzuki, Masakazu Hong, Hoon Anai, Hirokazu Yap, Chee 他. .
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A logic-based approach to the implementation of medical knowledge mining. Kerdprasop, N.; and Kerdprasop, K. Suzuki, Masakazu Hong, Hoon Anai, Hirokazu Yap, Chee 他. .
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