{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:08:42Z","timestamp":1750306122422,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":42,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,5,9]],"date-time":"2017-05-09T00:00:00Z","timestamp":1494288000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,5,9]]},"DOI":"10.1145\/3035918.3035941","type":"proceedings-article","created":{"date-parts":[[2017,5,10]],"date-time":"2017-05-10T18:09:00Z","timestamp":1494439740000},"page":"603-618","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Staging User Feedback toward Rapid Conflict Resolution in Data Fusion"],"prefix":"10.1145","author":[{"given":"Romila","family":"Pradhan","sequence":"first","affiliation":[{"name":"Purdue University, West Lafayette, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siarhei","family":"Bykau","sequence":"additional","affiliation":[{"name":"Bloomberg L.P. &amp; Purdue University, New York, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sunil","family":"Prabhakar","sequence":"additional","affiliation":[{"name":"Purdue University, West Lafayette, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,5,9]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1217299.1217304"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2012.122"},{"key":"e_1_3_2_1_3_1","volume-title":"Decision Making in Health Care: Theory, Psychology, and Applications","author":"Chapman G. B. E.","year":"2003","unstructured":"G. B. E. Chapman and F. A. E. Sonnenberg . Decision Making in Health Care: Theory, Psychology, and Applications . Cambridge University Press , 2003 . G. B. E. Chapman and F. A. E. Sonnenberg. Decision Making in Health Care: Theory, Psychology, and Applications. Cambridge University Press, 2003."},{"key":"e_1_3_2_1_4_1","first-page":"64","volume-title":"ICML","author":"Chen X.","year":"2013","unstructured":"X. Chen , Q. Lin , and D. Zhou . Optimistic knowledge gradient policy for optimal budget allocation in crowdsourcing . In ICML , pages 64 -- 72 , 2013 . X. Chen, Q. Lin, and D. Zhou. Optimistic knowledge gradient policy for optimal budget allocation in crowdsourcing. In ICML, pages 64--72, 2013."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/376284.375731"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.14778\/1920841.1921008"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.14778\/1687627.1687690"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.14778\/1687627.1687691"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557053"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2631923"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.14778\/1920841.1920867"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2567657"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.14778\/2876473.2876474"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1989323.1989331"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1718487.1718504"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2723731"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376701"},{"key":"e_1_3_2_1_18_1","first-page":"877","volume-title":"IJCAI","author":"Kapoor A.","year":"2007","unstructured":"A. Kapoor , E. Horvitz , and S. Basu . Selective supervision: Guiding supervised learning with decision-theoretic active learning . In IJCAI , pages 877 -- 882 , 2007 . A. Kapoor, E. Horvitz, and S. Basu. Selective supervision: Guiding supervised learning with decision-theoretic active learning. In IJCAI, pages 877--882, 2007."},{"key":"e_1_3_2_1_19_1","volume-title":"Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning","author":"Koller D.","year":"2009","unstructured":"D. Koller and N. Friedman . Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning . The MIT Press , 2009 . D. Koller and N. Friedman. Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning. The MIT Press, 2009."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.14778\/2735496.2735505"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.14778\/2535568.2448943"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897350.2897352"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783277"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.14778\/3402707.3402731"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.14778\/2735471.2735474"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.5555\/308574.308679"},{"key":"e_1_3_2_1_27_1","volume-title":"Theory of Games and Economic Behavior","author":"Neumann J. V.","year":"1944","unstructured":"J. V. Neumann and O. Morgenstern . Theory of Games and Economic Behavior . Princeton Univ. Press , 1944 . J. V. Neumann and O. Morgenstern. Theory of Games and Economic Behavior. Princeton Univ. Press, 1944."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2014.6816653"},{"key":"e_1_3_2_1_29_1","volume-title":"COLING","author":"Pasternack J.","year":"2010","unstructured":"J. Pasternack and D. Roth . Knowing what to believe(when you already know something) . In COLING , 2010 . J. Pasternack and D. Roth. Knowing what to believe(when you already know something). In COLING, 2010."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488476"},{"key":"e_1_3_2_1_31_1","volume-title":"Artificial Intelligence: A Modern Approach","author":"Russell S. J.","year":"2003","unstructured":"S. J. Russell and P. Norvig . Artificial Intelligence: A Modern Approach . Prentice Hall , 2 edition, 2003 . S. J. Russell and P. Norvig. Artificial Intelligence: A Modern Approach. Prentice Hall, 2 edition, 2003."},{"key":"e_1_3_2_1_32_1","volume-title":"Active learning. Synthesis Lectures on Artificial Intelligence and Machine Learning","author":"Settles B.","year":"2012","unstructured":"B. Settles . Active learning. Synthesis Lectures on Artificial Intelligence and Machine Learning ., 2012 . B. Settles. Active learning. Synthesis Lectures on Artificial Intelligence and Machine Learning., 2012."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/584091.584093"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401965"},{"key":"e_1_3_2_1_35_1","first-page":"647","volume-title":"NIPS","author":"Tong S.","year":"2001","unstructured":"S. Tong and D. Koller . Active learning for parameter estimation in bayesian networks . In NIPS , pages 647 -- 653 . MIT Press , 2001 . S. Tong and D. Koller. Active learning for parameter estimation in bayesian networks. In NIPS, pages 647--653. MIT Press, 2001."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2185677.2185737"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.14778\/2536336.2536337"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2012.43"},{"key":"e_1_3_2_1_39_1","first-page":"661","volume-title":"Journal of Machine Learning Research","author":"Winn J. M.","year":"2005","unstructured":"J. M. Winn and C. M. Bishop . Variational message passing . In Journal of Machine Learning Research , pages 661 -- 694 , 2005 . J. M. Winn and C. M. Bishop. Variational message passing. In Journal of Machine Learning Research, pages 661--694, 2005."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.14778\/1952376.1952378"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2007.190745"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.14778\/2536360.2536374"}],"event":{"name":"SIGMOD\/PODS'17: International Conference on Management of Data","sponsor":["SIGMOD ACM Special Interest Group on Management of Data"],"location":"Chicago Illinois USA","acronym":"SIGMOD\/PODS'17"},"container-title":["Proceedings of the 2017 ACM International Conference on Management of Data"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3035918.3035941","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3035918.3035941","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:36:48Z","timestamp":1750217808000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3035918.3035941"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,9]]},"references-count":42,"alternative-id":["10.1145\/3035918.3035941","10.1145\/3035918"],"URL":"https:\/\/doi.org\/10.1145\/3035918.3035941","relation":{},"subject":[],"published":{"date-parts":[[2017,5,9]]},"assertion":[{"value":"2017-05-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}