{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T13:49:09Z","timestamp":1725544149437},"publisher-location":"Berlin, Heidelberg","reference-count":10,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540332060"},{"type":"electronic","value":"9783540332077"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006]]},"DOI":"10.1007\/11731139_13","type":"book-chapter","created":{"date-parts":[[2006,3,9]],"date-time":"2006-03-09T04:03:44Z","timestamp":1141877024000},"page":"91-96","source":"Crossref","is-referenced-by-count":6,"title":["Further Improving Emerging Pattern Based Classifiers Via Bagging"],"prefix":"10.1007","author":[{"given":"Hongjian","family":"Fan","sequence":"first","affiliation":[]},{"given":"Ming","family":"Fan","sequence":"additional","affiliation":[]},{"given":"Kotagiri","family":"Ramamohanarao","sequence":"additional","affiliation":[]},{"given":"Mengxu","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"1-2","key":"13_CR1","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1023\/A:1007515423169","volume":"36","author":"E. Bauer","year":"1999","unstructured":"Bauer, E., Kohavi, R.: An empirical comparison of voting classification algorithms: Bagging, boosting, and variants. Machine Learning\u00a036(1-2), 105\u2013142 (1999)","journal-title":"Machine Learning"},{"issue":"2","key":"13_CR2","first-page":"123","volume":"24","author":"L. Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Machine Learning\u00a024(2), 123\u2013140 (1996)","journal-title":"Machine Learning"},{"issue":"1","key":"13_CR3","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L. Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Machine Learning\u00a045(1), 5\u201332 (2001)","journal-title":"Machine Learning"},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"Dong, G., Li, J.: Efficient mining of emerging patterns: Discovering trends and differences. In: Proc. 5th ACM SIGKDD (KDD 1999), San Diego, CA, pp. 43\u201352 (August 1999)","DOI":"10.1145\/312129.312191"},{"key":"13_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1007\/3-540-46846-3_4","volume-title":"Discovery Science","author":"G. Dong","year":"1999","unstructured":"Dong, G., Zhang, X., Wong, L., Li, J.: CAEP: Classification by aggregating emerging patterns. In: Arikawa, S., Furukawa, K. (eds.) DS 1999. LNCS, vol.\u00a01721, pp. 30\u201342. Springer, Heidelberg (1999)"},{"key":"13_CR6","first-page":"148","volume-title":"Proc. Thirteenth Int\u2019l Conf. on Machine Learning","author":"Y. Freund","year":"1996","unstructured":"Freund, Y., Schapire, R.E.: Experiments with a new boosting algorithm. In: Proc. Thirteenth Int\u2019l Conf. on Machine Learning, pp. 148\u2013156. Morgan Kaufmann, San Francisco (1996)"},{"issue":"2","key":"13_CR7","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/PL00011662","volume":"3","author":"J. Li","year":"2001","unstructured":"Li, J., Dong, G., Ramamohanarao, K.: Making use of the most expressive jumping emerging patterns for classification. Knowl. Inf. Syst.\u00a03(2), 131\u2013145 (2001)","journal-title":"Knowl. Inf. Syst."},{"issue":"2","key":"13_CR8","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1023\/A:1007659514849","volume":"40","author":"G.I. Webb","year":"2000","unstructured":"Webb, G.I.: Multiboosting: A technique for combining boosting and wagging. Machine Learning\u00a040(2), 159\u2013196 (2000)","journal-title":"Machine Learning"},{"issue":"8","key":"13_CR9","doi-asserted-by":"publisher","first-page":"980","DOI":"10.1109\/TKDE.2004.29","volume":"16","author":"G.I. Webb","year":"2004","unstructured":"Webb, G.I., Zheng, Z.: Multistrategy ensemble learning: Reducing error by combining ensemble learning techniques. IEEE Transactions on Knowledge and Data Engineering\u00a016(8), 980\u2013991 (2004)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"13_CR10","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations","author":"I.H. Witten","year":"1999","unstructured":"Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, San Francisco (1999)"}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11731139_13.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T06:51:31Z","timestamp":1619506291000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11731139_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540332060","9783540332077"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/11731139_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2006]]}}}