{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T13:28:50Z","timestamp":1725542930695},"publisher-location":"Berlin, Heidelberg","reference-count":16,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540372363"},{"type":"electronic","value":"9783540372417"}],"license":[{"start":{"date-parts":[[2006,1,1]],"date-time":"2006-01-01T00:00:00Z","timestamp":1136073600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006]]},"DOI":"10.1007\/11815921_75","type":"book-chapter","created":{"date-parts":[[2006,8,8]],"date-time":"2006-08-08T18:01:38Z","timestamp":1155060098000},"page":"687-695","source":"Crossref","is-referenced-by-count":0,"title":["Adaptive Classifier Selection Based on Two Level Hypothesis Tests for Incremental Learning"],"prefix":"10.1007","author":[{"given":"Haixia","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Senmiao","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"75_CR1","first-page":"69","volume":"23","author":"G. Widmer","year":"1996","unstructured":"Widmer, G., Kubat, M.: Learning in the presence of concept drift and hidden contexts. Machine Learning\u00a023, 69\u2013101 (1996)","journal-title":"Machine Learning"},{"key":"75_CR2","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.artint.2003.04.001","volume":"154","author":"M.A. Maloof","year":"2004","unstructured":"Maloof, M.A., Michalski, R.S.: Incremental learning with partial instance memory. Artificial Intelligence\u00a0154, 95\u2013126 (2004)","journal-title":"Artificial Intelligence"},{"key":"75_CR3","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/S0079-7421(08)60536-8","volume":"24","author":"M. McCloskey","year":"1989","unstructured":"McCloskey, M., Cohen, N.: Catastrophic interference in connectionist networks: the sequential learning problem. The Psychology of Learning and Motivation\u00a024, 109\u2013164 (1989)","journal-title":"The Psychology of Learning and Motivation"},{"key":"75_CR4","first-page":"317","volume":"1","author":"J.C. Schlimmer","year":"1986","unstructured":"Schlimmer, J.C., Granger Jr., R.H.: Incremental learning from noisy data. Machine Learning\u00a01, 317\u2013354 (1986)","journal-title":"Machine Learning"},{"issue":"4","key":"75_CR5","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1109\/5326.983933","volume":"31","author":"R. Polikar","year":"2001","unstructured":"Polikar, R., Udpa, L., Udpa, S.S., Honavar, V.: Learn++: an incremental learning algorithm for supervised neural networks. IEEE Transactions on Systems, man, and Cybernetics-Part C: Applications and Reviews\u00a031(4), 497\u2013508 (2001)","journal-title":"IEEE Transactions on Systems, man, and Cybernetics-Part C: Applications and Reviews"},{"key":"75_CR6","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1007\/978-3-540-24775-3_36","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"F. Chu","year":"2004","unstructured":"Chu, F., Zaniolo, C.: Fast and light boosting for adaptive mining of data streams. In: Dai, H., Srikant, R., Zhang, C. (eds.) PAKDD 2004. LNCS (LNAI), vol.\u00a03056, pp. 282\u2013292. Springer, Heidelberg (2004)"},{"key":"75_CR7","first-page":"377","volume-title":"Proc. 7th ACM SIGKDD","author":"W. Street","year":"2001","unstructured":"Street, W., Kim, Y.: A streaming ensemble algorithm (SEA) for large-scale classification. In: Proc. 7th ACM SIGKDD, pp. 377\u2013382. ACM Press, New York (2001)"},{"key":"75_CR8","doi-asserted-by":"crossref","unstructured":"Wang, H., Fan, W., Yu, P.S., Han, J.: Mining concept-drifting data streams using ensemble classifiers. In: SIGKDD 2003, Washington, DC, USA, August 24-27 (2003)","DOI":"10.1145\/956750.956778"},{"key":"75_CR9","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/978-3-540-30214-8_4","volume-title":"Discovery Science","author":"F. Chu","year":"2004","unstructured":"Chu, F., Wang, Y., Zaniolo, C.: Mining noisy data streams via a discriminative model. In: Suzuki, E., Arikawa, S. (eds.) DS 2004. LNCS (LNAI), vol.\u00a03245, pp. 47\u201359. Springer, Heidelberg (2004)"},{"key":"75_CR10","first-page":"33","volume-title":"Learning for Text Categorization","author":"R. Klinkenberg","year":"1998","unstructured":"Klinkenberg, R., Renz, I.: Adaptive information filtering: Learning in the presence of concept drifts. In: Learning for Text Categorization, pp. 33\u201340. AAAI Press, Menlo Park (1998)"},{"key":"75_CR11","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1007\/978-3-540-24775-3_45","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"G.P.C. Fung","year":"2004","unstructured":"Fung, G.P.C., Yu, J.X., Lu, H.: Classifying text streams in the presence of concept drifts. In: Dai, H., Srikant, R., Zhang, C. (eds.) PAKDD 2004. LNCS (LNAI), vol.\u00a03056, pp. 373\u2013383. Springer, Heidelberg (2004)"},{"key":"75_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1007\/978-3-540-30497-5_110","volume-title":"Computational and Information Science","author":"J. Natwichai","year":"2004","unstructured":"Natwichai, J., Li, X.: Knowledge maintenance on data streams with concept drifting. In: Zhang, J., He, J.-H., Fu, Y. (eds.) CIS 2004. LNCS, vol.\u00a03314, pp. 705\u2013710. Springer, Heidelberg (2004)"},{"key":"75_CR13","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1007\/978-3-540-28645-5_29","volume-title":"Advances in Artificial Intelligence \u2013 SBIA 2004","author":"J. Gama","year":"2004","unstructured":"Gama, J., Medas, P., Castillo, G., Rodrigues, P.: Learning with drift detection. In: Bazzan, A.L.C., Labidi, S. (eds.) SBIA 2004. LNCS (LNAI), vol.\u00a03171, pp. 286\u2013295. Springer, Heidelberg (2004)"},{"key":"75_CR14","volume-title":"Pattern classification and scene analysis","author":"R.O. Duda","year":"2001","unstructured":"Duda, R.O., Hart, P.E.: Pattern classification and scene analysis, 2nd edn. Willey and Sons, New York (2001)","edition":"2"},{"key":"75_CR15","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1023\/A:1007413511361","volume":"29","author":"P. Domingos","year":"1997","unstructured":"Domingos, P., Pazzani, M.: On the optimality of the simple Bayesian classifier under zero-one loss. Machine Learning\u00a029, 103\u2013129 (1997)","journal-title":"Machine Learning"},{"key":"75_CR16","doi-asserted-by":"crossref","unstructured":"Hulten, G., Spencer, L., Domingos, P.: Mining time-changing data streams. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, pp. 97\u2013106 (2001)","DOI":"10.1145\/502512.502529"}],"container-title":["Lecture Notes in Computer Science","Structural, Syntactic, and Statistical Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11815921_75","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,19]],"date-time":"2019-05-19T17:12:08Z","timestamp":1558285928000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11815921_75"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540372363","9783540372417"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/11815921_75","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2006]]}}}