{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:32:15Z","timestamp":1750307535920,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2009,6,28]],"date-time":"2009-06-28T00:00:00Z","timestamp":1246147200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Young Cadreman Supporting Program of Northwest A&F University","award":["1140301"],"award-info":[{"award-number":["1140301"]}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP0558879"],"award-info":[{"award-number":["DP0558879"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2009,6,28]]},"DOI":"10.1145\/1601966.1601981","type":"proceedings-article","created":{"date-parts":[[2009,9,8]],"date-time":"2009-09-08T12:53:09Z","timestamp":1252414389000},"page":"79-86","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":28,"title":["OcVFDT"],"prefix":"10.1145","author":[{"given":"Chen","family":"Li","sequence":"first","affiliation":[{"name":"Northwest A&F University, Yangling, Shaanxi Province, P.R. China"}]},{"given":"Yang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Northwest A&F University, Yangling, Shaanxi Province, P.R. China"}]},{"given":"Xue","family":"Li","sequence":"additional","affiliation":[{"name":"The University of Queensland, Brisbane, Queensland, Australia"}]}],"member":"320","published-online":{"date-parts":[[2009,6,28]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2007.08.003"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tcs.2005.09.007"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1162\/089976698300017197"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/347090.347107"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401920"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022638503176"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.16"},{"issue":"8","key":"e_1_3_2_1_8_1","first-page":"1353","article-title":"Learning Decision Trees from Dynamic Data Streams","volume":"11","author":"Gama J.","year":"2005","unstructured":"J. Gama , P. Medas , and P. Rodrigues . Learning Decision Trees from Dynamic Data Streams . Journal of Universal Computer Science , 11 ( 8 ): 1353 -- 1366 , 2005 . J. Gama, P. Medas, and P. Rodrigues. Learning Decision Trees from Dynamic Data Streams. Journal of Universal Computer Science, 11(8):1353--1366, 2005.","journal-title":"Journal of Universal Computer Science"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/956750.956813"},{"key":"e_1_3_2_1_10_1","volume-title":"The Journal of Machine Learning Research","author":"Hulten G.","year":"2005","unstructured":"G. Hulten , P. Domingos , and L. Spencer . Mining massive data streams . In The Journal of Machine Learning Research , 2005 . G. Hulten, P. Domingos, and L. Spencer. Mining massive data streams. In The Journal of Machine Learning Research, 2005."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/502512.502529"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/956750.956821"},{"key":"e_1_3_2_1_13_1","first-page":"448","volume-title":"Proceedings of Twentieth International Conference on Machine Learning. (ICML'03)","volume":"20","author":"Lee W.","year":"2003","unstructured":"W. Lee and B. Liu . Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression . In Proceedings of Twentieth International Conference on Machine Learning. (ICML'03) , volume 20 , page 448 , 2003 . W. Lee and B. Liu. Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression. In Proceedings of Twentieth International Conference on Machine Learning. (ICML'03), volume 20, page 448, 2003."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.5555\/1005332.1005345"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.5555\/951949.952139"},{"key":"e_1_3_2_1_16_1","volume-title":"Morgan Kaufmann","author":"Quinlan J.","year":"1993","unstructured":"J. Quinlan . C4.5 : Programs for Machine Learning . Morgan Kaufmann , 1993 . J. Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufmann, 1993."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750264965"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/502512.502568"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/956750.956778"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-005-1122-7"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2004.1264823"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1168092.1168096"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2008.54"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.5555\/1032649.1033469"}],"event":{"name":"KDD09: The 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","Geographic Information Science and Technology (GIST) Group at Oak Ridge National Laboratory","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","Computational Sciences and Engineering (CSE) Division at the Oak Ridge National Laboratory","Cooperating Objects Network of Excellence (CONET)"],"location":"Paris France","acronym":"KDD09"},"container-title":["Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1601966.1601981","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1601966.1601981","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T12:23:17Z","timestamp":1750249397000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1601966.1601981"}},"subtitle":["one-class very fast decision tree for one-class classification of data streams"],"short-title":[],"issued":{"date-parts":[[2009,6,28]]},"references-count":24,"alternative-id":["10.1145\/1601966.1601981","10.1145\/1601966"],"URL":"https:\/\/doi.org\/10.1145\/1601966.1601981","relation":{},"subject":[],"published":{"date-parts":[[2009,6,28]]},"assertion":[{"value":"2009-06-28","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}