{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:42:26Z","timestamp":1750308146526,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2005,8,21]],"date-time":"2005-08-21T00:00:00Z","timestamp":1124582400000},"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":[[2005,8,21]]},"DOI":"10.1145\/1081870.1081906","type":"proceedings-article","created":{"date-parts":[[2005,11,7]],"date-time":"2005-11-07T17:34:39Z","timestamp":1131384879000},"page":"304-313","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Improving discriminative sequential learning with rare--but--important associations"],"prefix":"10.1145","author":[{"given":"Xuan-Hieu","family":"Phan","sequence":"first","affiliation":[{"name":"Japan Advanced Inst. of Science & Technology, Nomi, Ishikawa, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Le-Minh","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Japan Advanced Inst. of Science & Technology, Nomi, Ishikawa, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tu-Bao","family":"Ho","sequence":"additional","affiliation":[{"name":"Japan Advanced Inst. of Science & Technology, Nomi, Ishikawa, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Susumu","family":"Horiguchi","sequence":"additional","affiliation":[{"name":"Tohoku University, Sendai, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2005,8,21]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"487","volume-title":"Proc. VLDB","author":"Agrawal R.","year":"1994","unstructured":"R. Agrawal and R. Srikant . Fast algorithms for mining association rules . In Proc. VLDB , pages 487 -- 499 , 1994 . R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In Proc. VLDB, pages 487--499, 1994."},{"key":"e_1_3_2_1_2_1","volume-title":"Proc. NIPS","author":"Altun Y.","year":"2002","unstructured":"Y. Altun , T. Hofmann , and M. Johnson . Discriminative learning for label sequences via boosting . In Proc. NIPS , 2002 . Y. Altun, T. Hofmann, and M. Johnson. Discriminative learning for label sequences via boosting. In Proc. NIPS, 2002."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/234285.234289"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.3115\/1118693.1118694"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015428"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1006\/jcss.1997.1504"},{"key":"e_1_3_2_1_8_1","first-page":"412","volume-title":"Proc. AAAI","author":"Kristjansson T.","year":"2004","unstructured":"T. Kristjansson , A. Culotta , P. Viola , and A. McCallum . Interactive information extraction with constrained conditional random fields . In Proc. AAAI , pages 412 -- 418 , 2004 . T. Kristjansson, A. Culotta, P. Viola, and A. McCallum. Interactive information extraction with constrained conditional random fields. In Proc. AAAI, pages 412--418, 2004."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.3115\/1073336.1073361"},{"key":"e_1_3_2_1_10_1","first-page":"1150","volume-title":"Proc. IEEE CVPR","author":"Kumar S.","year":"2003","unstructured":"S. Kumar and M. Hebert . Discriminative random fields: a discriminative framework for contextual interaction in classification . In Proc. IEEE CVPR , pages 1150 -- 1157 , 2003 . S. Kumar and M. Hebert. Discriminative random fields: a discriminative framework for contextual interaction in classification. In Proc. IEEE CVPR, pages 1150--1157, 2003."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/342009.335372"},{"key":"e_1_3_2_1_12_1","first-page":"695","volume-title":"Proc. IEEE CVPR","author":"He X.","year":"2004","unstructured":"X. He , R.S. Zemel , and M.A. Carreira-Perpinan . Multiscale conditional random fields for image labeling . In Proc. IEEE CVPR , pages 695 -- 702 , 2004 . X. He, R.S. Zemel, and M.A. Carreira-Perpinan. Multiscale conditional random fields for image labeling. In Proc. IEEE CVPR, pages 695--702, 2004."},{"key":"e_1_3_2_1_13_1","first-page":"282","volume-title":"Proc. ICML","author":"Lafferty J.","year":"2001","unstructured":"J. Lafferty , A. McCallum , and F. Pereira . Conditional random fields: probabilistic models for segmenting and labeling sequence data . In Proc. ICML , pages 282 -- 289 , 2001 . J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: probabilistic models for segmenting and labeling sequence data. In Proc. ICML, pages 282--289, 2001."},{"key":"e_1_3_2_1_14_1","first-page":"369","volume-title":"Proc. IEEE ICDM","author":"Li W.","year":"2001","unstructured":"W. Li , J. Han , and J. Pei . Accurate and efficient classifications based on multiple class-association rules . In Proc. IEEE ICDM , pages 369 -- 376 , 2001 . W. Li, J. Han, and J. Pei. Accurate and efficient classifications based on multiple class-association rules. In Proc. IEEE ICDM, pages 369--376, 2001."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01589116"},{"key":"e_1_3_2_1_16_1","first-page":"80","volume-title":"Proc. ACM SIGKDD","author":"Liu B.","year":"1998","unstructured":"B. Liu , W. Hsu , and Y. Ma . Integrating classification and association rule mining . In Proc. ACM SIGKDD , pages 80 -- 86 , 1998 . B. Liu, W. Hsu, and Y. Ma. Integrating classification and association rule mining. In Proc. ACM SIGKDD, pages 80--86, 1998."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.3115\/1118853.1118871"},{"key":"e_1_3_2_1_18_1","first-page":"591","volume-title":"Proc. ICML","author":"McCallum A.","year":"2000","unstructured":"A. McCallum , D. Freitag , and F. Pereira . Maximum entropy markov models for information extraction and segmentation . In Proc. ICML , pages 591 -- 598 , 2000 . A. McCallum, D. Freitag, and F. Pereira. Maximum entropy markov models for information extraction and segmentation. In Proc. ICML, pages 591--598, 2000."},{"key":"e_1_3_2_1_19_1","volume-title":"Proc. UAI","author":"McCallum A.","year":"2003","unstructured":"A. McCallum . Efficently inducing features of conditional random fields . In Proc. UAI , 2003 . A. McCallum. Efficently inducing features of conditional random fields. In Proc. UAI, 2003."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.3115\/1220355.1220436"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.588021"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/860435.860479"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.18626"},{"key":"e_1_3_2_1_24_1","volume-title":"Proc. EMNLP","author":"Ratnaparkhi A.","year":"1996","unstructured":"A. Ratnaparkhi . A maximum entropy model for part-of-speech tagging . In Proc. EMNLP , 1996 . A. Ratnaparkhi. A maximum entropy model for part-of-speech tagging. In Proc. EMNLP, 1996."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.3115\/1073445.1073473"},{"key":"e_1_3_2_1_26_1","volume-title":"Proc. NIPS","author":"Torralba A.","year":"2004","unstructured":"A. Torralba , K.P. Murphy , and W.T. Freeman . Contextual models for object detection using boosted random fields . In Proc. NIPS , 2004 . A. Torralba, K.P. Murphy, and W.T. Freeman. Contextual models for object detection using boosted random fields. In Proc. NIPS, 2004."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/640075.640118"}],"event":{"name":"KDD05: The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","ACM Association for Computing Machinery"],"location":"Chicago Illinois USA","acronym":"KDD05"},"container-title":["Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1081870.1081906","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1081870.1081906","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T16:18:37Z","timestamp":1750263517000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1081870.1081906"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,8,21]]},"references-count":26,"alternative-id":["10.1145\/1081870.1081906","10.1145\/1081870"],"URL":"https:\/\/doi.org\/10.1145\/1081870.1081906","relation":{},"subject":[],"published":{"date-parts":[[2005,8,21]]},"assertion":[{"value":"2005-08-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}