{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,9]],"date-time":"2025-06-09T22:26:14Z","timestamp":1749507974695},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319054575"},{"type":"electronic","value":"9783319054582"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-05458-2_19","type":"book-chapter","created":{"date-parts":[[2014,2,28]],"date-time":"2014-02-28T05:28:36Z","timestamp":1393565316000},"page":"177-186","source":"Crossref","is-referenced-by-count":4,"title":["A Family of the Online Distance-Based Classifiers"],"prefix":"10.1007","author":[{"given":"Joanna","family":"J\u0119drzejowicz","sequence":"first","affiliation":[]},{"given":"Piotr","family":"J\u0119drzejowicz","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"19_CR1","unstructured":"Asuncion, A., Newman, D.J.: UCI Machine Learning Repository. University of California, School of Information and Computer Science (2007), \n                    \n                      http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html"},{"key":"19_CR2","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.ins.2013.05.016","volume":"246","author":"J.R. Bertini","year":"2013","unstructured":"Bertini, J.R., Zhao, L., Lopes, A.: An incremental learning algorithm based on the K-associated graph for non-stationary data classification. Information Sciences\u00a0246, 52\u201368 (2013)","journal-title":"Information Sciences"},{"issue":"10","key":"19_CR3","doi-asserted-by":"publisher","first-page":"2283","DOI":"10.1109\/TKDE.2012.136","volume":"25","author":"G. Ditzler","year":"2013","unstructured":"Ditzler, G., Polikar, R.: Incremental learning of concept drift from streaming imbalanced data. IEEE Transactions on Knowledge and Data Engineering\u00a025(10), 2283\u20132301 (2013)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"19_CR4","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1080\/01969727308546046","volume":"3","author":"J.C. Dunn","year":"1973","unstructured":"Dunn, J.C.: A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. Journal of Cybernetics\u00a03, 32\u201357 (1973)","journal-title":"Journal of Cybernetics"},{"issue":"1","key":"19_CR5","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1145\/1083784.1083789","volume":"34","author":"M.M. Gaber","year":"2005","unstructured":"Gaber, M.M., Zaslavsky, A., Krishnaswamy, S.: Mining data streams: a review. ACM SIGMOD Record\u00a034(1), 18\u201326 (2005)","journal-title":"ACM SIGMOD Record"},{"key":"19_CR6","doi-asserted-by":"crossref","unstructured":"Gaber, M.M., Zaslavsky, A., Krishnaswamy, S.: Data Stream Mining. In: Maimon, O., Rokach, L. (eds.) Data Mining and Knowledge Discovery Handbook, Part 6, pp. 759\u2013787 (2010)","DOI":"10.1007\/978-0-387-09823-4_39"},{"key":"19_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-73679-4","volume-title":"Learning from Data Streams","author":"J. Gama","year":"2007","unstructured":"Gama, J., Gaber, M.M.: Learning from Data Streams. Springer, Berlin (2007)"},{"key":"19_CR8","unstructured":"IDA Benchmark Repository, \n                    \n                      http:\/\/mldata.org\/repository\/tags\/data\/IDA_Benchmark_Repository\/\n                    \n                    \n                   (January 12, 2013)"},{"key":"19_CR9","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1007\/978-3-642-16693-8_36","volume-title":"Computational Collective Intelligence. Technologies and Applications","author":"J. J\u0119drzejowicz","year":"2010","unstructured":"J\u0119drzejowicz, J., J\u0119drzejowicz, P.: Cellular GEP-Induced Classifiers. In: Pan, J.-S., Chen, S.-M., Nguyen, N.T. (eds.) ICCCI 2010, Part I. LNCS (LNAI), vol.\u00a06421, pp. 343\u2013352. Springer, Heidelberg (2010)"},{"key":"19_CR10","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1007\/978-3-642-22000-5_51","volume-title":"Agent and Multi-Agent Systems: Technologies and Applications","author":"J. J\u0119drzejowicz","year":"2011","unstructured":"J\u0119drzejowicz, J., J\u0119drzejowicz, P.: Rotation Forest with GEP-Induced Expression Trees. In: O\u2019Shea, J., Nguyen, N.T., Crockett, K., Howlett, R.J., Jain, L.C. (eds.) KES-AMSTA 2011. LNCS (LNAI), vol.\u00a06682, pp. 495\u2013503. Springer, Heidelberg (2011)"},{"key":"19_CR11","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1007\/978-3-642-40495-5_43","volume-title":"Computational Collective Intelligence. Technologies and Applications","author":"J. J\u0119drzejowicz","year":"2013","unstructured":"J\u0119drzejowicz, J., J\u0119drzejowicz, P.: Online classifiers based on fuzzy C-means Clustering. In: B\u01cedic\u01ce, C., Nguyen, N.T., Brezovan, M. (eds.) ICCCI 2013. LNCS (LNAI), vol.\u00a08083, pp. 427\u2013436. Springer, Heidelberg (2013)"},{"key":"19_CR12","doi-asserted-by":"crossref","first-page":"129","DOI":"10.3233\/IDA-2002-6203","volume":"6","author":"M. Last","year":"2002","unstructured":"Last, M.: Online classification of nonstationary data streams. Intelligent Data Analysis\u00a06, 129\u2013147 (2002)","journal-title":"Intelligent Data Analysis"},{"key":"19_CR13","unstructured":"http:\/\/moa.cms.waikato.ac.nz\/datasets\/\n                    \n                    \n                   (September 03, 2013)"},{"key":"19_CR14","doi-asserted-by":"publisher","first-page":"743","DOI":"10.1016\/S0893-6080(02)00060-6","volume":"15","author":"N. Murata","year":"2002","unstructured":"Murata, N., Kawanabe, N., Ziehe, A., Muller, K.R., Amari, S.: On-line learning in changing environments with application in supervised and unsupervised learning. Neural Networks\u00a015, 743\u2013760 (2002)","journal-title":"Neural Networks"},{"issue":"11","key":"19_CR15","first-page":"26","volume":"12","author":"S. Pramod","year":"2012","unstructured":"Pramod, S., Vyas, O.P.: Data Stream Mining: A Review on Windowing Approach. Global Journal of Computer Science and Technology Software & Data Engineering\u00a012(11), 26\u201330 (2012)","journal-title":"Global Journal of Computer Science and Technology Software & Data Engineering"},{"key":"19_CR16","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1016\/j.patrec.2008.11.006","volume":"30","author":"J. Sung","year":"2009","unstructured":"Sung, J., Kim, D.: Adaptive acting appearance model with incremental learning. Pattern Recognition Letters\u00a030, 359\u2013367 (2009)","journal-title":"Pattern Recognition Letters"},{"key":"19_CR17","doi-asserted-by":"crossref","unstructured":"Street, W., Kim, Y.: A streaming ensemble algorithm (SEA) for large-scale classification. In: 7th International Conference on Knowledge Discovery and Data Mining, KDD 2001, San Francisco, CA, pp. 377\u2013382 (August 2001)","DOI":"10.1145\/502512.502568"},{"key":"19_CR18","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.ins.2012.06.023","volume":"220","author":"L. Wang","year":"2013","unstructured":"Wang, L., Ji, H.-B., Jin, Y.: Fuzzy Passive-Aggressive classification: A robust and efficient algorithm for online classification problems. Information Sciences\u00a0220, 46\u201363 (2013)","journal-title":"Information Sciences"},{"key":"19_CR19","first-page":"69","volume":"23","author":"G. Widmar","year":"1996","unstructured":"Widmar, G., Kubat, M.: Learning in the presence of concept drift and hidden contexts. Machine Learning\u00a023, 69\u2013101 (1996)","journal-title":"Machine Learning"},{"issue":"4","key":"19_CR20","first-page":"116","volume":"3","author":"K. Wisaeng","year":"2013","unstructured":"Wisaeng, K.: A Comparison of Different Classification Techniques for Bank Direct Marketing. International Journal of Soft Computing and Engineering\u00a03(4), 116\u2013119 (2013)","journal-title":"International Journal of Soft Computing and Engineering"},{"key":"19_CR21","doi-asserted-by":"crossref","unstructured":"\u017dliobait\u0117, I.E.: Controlled Permutations for Testing Adaptive Classifiers. In: Elomaa, T., Hollm\u00e9n, J., Mannila, H. (eds.) DS 2011. LNCS, vol.\u00a06926, pp. 365\u2013379. Springer, Heidelberg (2011)","DOI":"10.1007\/978-3-642-24477-3_29"}],"container-title":["Lecture Notes in Computer Science","Intelligent Information and Database Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-05458-2_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,26]],"date-time":"2019-05-26T06:05:56Z","timestamp":1558850756000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-05458-2_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319054575","9783319054582"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-05458-2_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2014]]}}}