An Uncertainty Aware Method for Geographic Data Conflation. Lin, H. & Chiang, Y. In Proceedings of the 7th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, of BigSpatial 2018, pages 20–27, New York, NY, USA, November, 2018. Association for Computing Machinery. Paper -file doi bibtex @INPROCEEDINGS{Lin2018-vk,
title = "{An Uncertainty Aware Method for Geographic Data Conflation}",
booktitle = "{Proceedings of the 7th ACM SIGSPATIAL International Workshop on
Analytics for Big Geospatial Data}",
author = "Lin, Haowen and Chiang, Yao-Yi",
publisher = "Association for Computing Machinery",
pages = "20--27",
series = "BigSpatial 2018",
month = nov,
year = 2018,
url = "https://doi.org/10.1145/3282834.3282842",
url-file = "papers/Lin-and-Chiang-2018-An-Uncertainty-Aware-Method-for-Geographic-Data-Conflation.pdf",
address = "New York, NY, USA",
location = "Seattle, WA, USA",
isbn = "9781450360418",
doi = "10.1145/3282834.3282842"
}
Downloads: 0
{"_id":"fWXoMYvWg7Y4izm6X","bibbaseid":"lin-chiang-anuncertaintyawaremethodforgeographicdataconflation-2018","authorIDs":[],"author_short":["Lin, H.","Chiang, Y."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","title":"An Uncertainty Aware Method for Geographic Data Conflation","booktitle":"Proceedings of the 7th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data","author":[{"propositions":[],"lastnames":["Lin"],"firstnames":["Haowen"],"suffixes":[]},{"propositions":[],"lastnames":["Chiang"],"firstnames":["Yao-Yi"],"suffixes":[]}],"publisher":"Association for Computing Machinery","pages":"20–27","series":"BigSpatial 2018","month":"November","year":"2018","url":"https://doi.org/10.1145/3282834.3282842","url-file":"papers/Lin-and-Chiang-2018-An-Uncertainty-Aware-Method-for-Geographic-Data-Conflation.pdf","address":"New York, NY, USA","location":"Seattle, WA, USA","isbn":"9781450360418","doi":"10.1145/3282834.3282842","bibtex":"@INPROCEEDINGS{Lin2018-vk,\n title = \"{An Uncertainty Aware Method for Geographic Data Conflation}\",\n booktitle = \"{Proceedings of the 7th ACM SIGSPATIAL International Workshop on\n Analytics for Big Geospatial Data}\",\n author = \"Lin, Haowen and Chiang, Yao-Yi\",\n publisher = \"Association for Computing Machinery\",\n pages = \"20--27\",\n series = \"BigSpatial 2018\",\n month = nov,\n year = 2018,\n url = \"https://doi.org/10.1145/3282834.3282842\",\n url-file = \"papers/Lin-and-Chiang-2018-An-Uncertainty-Aware-Method-for-Geographic-Data-Conflation.pdf\",\n address = \"New York, NY, USA\",\n location = \"Seattle, WA, USA\",\n isbn = \"9781450360418\",\n doi = \"10.1145/3282834.3282842\"\n}\n\n","author_short":["Lin, H.","Chiang, Y."],"key":"Lin2018-vk","id":"Lin2018-vk","bibbaseid":"lin-chiang-anuncertaintyawaremethodforgeographicdataconflation-2018","role":"author","urls":{"Paper":"https://doi.org/10.1145/3282834.3282842","-file":"http://knowledge-computing.github.io/papers/Lin-and-Chiang-2018-An-Uncertainty-Aware-Method-for-Geographic-Data-Conflation.pdf"},"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"inproceedings","biburl":"http://knowledge-computing.github.io/publications.bib","creationDate":"2020-12-05T05:31:07.737Z","downloads":0,"keywords":[],"search_terms":["uncertainty","aware","method","geographic","data","conflation","lin","chiang"],"title":"An Uncertainty Aware Method for Geographic Data Conflation","year":2018,"dataSources":["HAFwXuLZf7sqJvp2S","3sPtWLmmdPRfH69LS","8u7qceCaxL8Gt5PoF"]}