{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T08:21:15Z","timestamp":1775722875738,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,10,24]],"date-time":"2016-10-24T00:00:00Z","timestamp":1477267200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"NFS","award":["IIS-1161997, IIS-1510741"],"award-info":[{"award-number":["IIS-1161997, IIS-1510741"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,10,24]]},"DOI":"10.1145\/2983323.2983855","type":"proceedings-article","created":{"date-parts":[[2016,10,26]],"date-time":"2016-10-26T13:20:08Z","timestamp":1477488008000},"page":"999-1008","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":25,"title":["Semi-Supervision Dramatically Improves Time Series Clustering under Dynamic Time Warping"],"prefix":"10.1145","author":[{"given":"Hoang Anh","family":"Dau","sequence":"first","affiliation":[{"name":"University of California, Riverside, Riverside, CA, USA"}]},{"given":"Nurjahan","family":"Begum","sequence":"additional","affiliation":[{"name":"University of California, Riverside, Riverside, CA, USA"}]},{"given":"Eamonn","family":"Keogh","sequence":"additional","affiliation":[{"name":"University of California, Riverside, Riverside, CA, USA"}]}],"member":"320","published-online":{"date-parts":[[2016,10,24]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376656"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014062"},{"key":"e_1_3_2_1_3_1","volume-title":"In Proceedings of 19th International Conference on Machine Learning","author":"Basu S.","year":"2002","unstructured":"Basu , S. , Banerjee , A. and Mooney , R . Semi-supervised clustering by seeding . In In Proceedings of 19th International Conference on Machine Learning , 2002 . Basu, S., Banerjee, A. and Mooney, R. Semi-supervised clustering by seeding. In In Proceedings of 19th International Conference on Machine Learning, 2002."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783286"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/956750.956759"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487633"},{"key":"e_1_3_2_1_7_1","volume-title":"Semi-supervised clustering using genetic algorithms. Artificial neural networks in engineering (ANNIE-99)","author":"Demiriz A.","year":"1999","unstructured":"Demiriz , A. , Bennett , K. P. and Embrechts , M. J . Semi-supervised clustering using genetic algorithms. Artificial neural networks in engineering (ANNIE-99) , 1999 , 809--814. Demiriz, A., Bennett, K. P. and Embrechts, M. J. Semi-supervised clustering using genetic algorithms. Artificial neural networks in engineering (ANNIE-99), 1999, 809--814."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.14778\/1454159.1454226"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.14778\/2735479.2735481"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.07.046"},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of the 28th International Conference on Machine Learning","author":"Li L.","year":"2011","unstructured":"Li , L. and Prakash , B. A . Time series clustering: Complex is simpler! . In Proceedings of the 28th International Conference on Machine Learning , 2011 , 185--192. Li, L. and Prakash, B. A. Time series clustering: Complex is simpler!. In Proceedings of the 28th International Conference on Machine Learning, 2011, 185--192."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2009.07.007"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835546"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2737793"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.27"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339576"},{"key":"e_1_3_2_1_18_1","volume-title":"Objective criteria for the evaluation of clustering methods. Journal of the American Statistical association","author":"Rand W. M.","year":"1971","unstructured":"Rand , W. M. Objective criteria for the evaluation of clustering methods. Journal of the American Statistical association , 1971 , 66(336), 846--850. Rand, W. M. Objective criteria for the evaluation of clustering methods. Journal of the American Statistical association, 1971, 66(336), 846--850."},{"issue":"15","key":"e_1_3_2_1_19_1","first-page":"1","article-title":"Recent Techniques of Clustering of Time Series Data: a Survey","volume":"52","author":"Rani S.","year":"2012","unstructured":"Rani , S. and Sikka , G . Recent Techniques of Clustering of Time Series Data: a Survey . Int. J. Comput. Appl , 2012 , 52 ( 15 ), 1 -- 9 . Rani, S. and Sikka, G. Recent Techniques of Clustering of Time Series Data: a Survey. Int. J. Comput. Appl, 2012, 52(15), 1--9.","journal-title":"Int. J. Comput. Appl"},{"key":"e_1_3_2_1_20_1","volume-title":"Proceedings of SIAM International Conference on Data Mining","author":"Ratanamahatana C.A.","year":"2005","unstructured":"Ratanamahatana , C.A. and Keogh , E.J . Three Myths about Dynamic Time Warping . In Proceedings of SIAM International Conference on Data Mining , 2005 , 506--10. Ratanamahatana, C.A. and Keogh, E.J. Three Myths about Dynamic Time Warping. In Proceedings of SIAM International Conference on Data Mining, 2005, 506--10."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1242072"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974010.33"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-005-5828-3"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.5555\/1756006.1953024"},{"key":"e_1_3_2_1_25_1","volume-title":"Clustering stability: An overview","author":"Von Luxburg U.","year":"2010","unstructured":"Von Luxburg , U. Clustering stability: An overview . Now Publishers Inc , 2010 . Von Luxburg, U. Clustering stability: An overview. Now Publishers Inc, 2010."},{"key":"e_1_3_2_1_26_1","volume-title":"Proceedings of the 17th International Conference on Machine Learning","author":"Wagstaff K.","year":"2000","unstructured":"Wagstaff , K. and Cardie , C . Clustering with instance-level constraints . In Proceedings of the 17th International Conference on Machine Learning , 2000 , 1103--10. Wagstaff, K. and Cardie, C. Clustering with instance-level constraints. In Proceedings of the 17th International Conference on Machine Learning, 2000, 1103--10."},{"key":"e_1_3_2_1_27_1","volume-title":"The UCR Time Series Classification Archive. www.cs.ucr.edu\/~eamonn\/time_series_data\/","author":"Chen Y.","year":"2015","unstructured":"Chen , Y. , The UCR Time Series Classification Archive. www.cs.ucr.edu\/~eamonn\/time_series_data\/ , 2015 . Chen, Y., et al. The UCR Time Series Classification Archive. www.cs.ucr.edu\/~eamonn\/time_series_data\/, 2015."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2012.26"},{"key":"e_1_3_2_1_29_1","first-page":"2016","article-title":"Tracking Idea Flows between Social Groups. arXiv preprint arXiv:1512.04036. To appear","author":"Zhong Y.","year":"2015","unstructured":"Zhong , Y. , Liu , S. , Wang , X. , Xiao , J. and Song , Y . Tracking Idea Flows between Social Groups. arXiv preprint arXiv:1512.04036. To appear in AAAI 2016 , 2015 . Zhong, Y., Liu, S., Wang, X., Xiao, J. and Song, Y. Tracking Idea Flows between Social Groups. arXiv preprint arXiv:1512.04036. To appear in AAAI 2016, 2015.","journal-title":"AAAI"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-015-1565-7"},{"key":"e_1_3_2_1_31_1","unstructured":"Supporting webpage: sites.google.com\/site\/dtwclustering\/  Supporting webpage: sites.google.com\/site\/dtwclustering\/"}],"event":{"name":"CIKM'16: ACM Conference on Information and Knowledge Management","location":"Indianapolis Indiana USA","acronym":"CIKM'16","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 25th ACM International on Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2983323.2983855","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2983323.2983855","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:40:04Z","timestamp":1750218004000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2983323.2983855"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10,24]]},"references-count":30,"alternative-id":["10.1145\/2983323.2983855","10.1145\/2983323"],"URL":"https:\/\/doi.org\/10.1145\/2983323.2983855","relation":{},"subject":[],"published":{"date-parts":[[2016,10,24]]},"assertion":[{"value":"2016-10-24","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}