{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T21:33:40Z","timestamp":1770068020318,"version":"3.49.0"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319466712","type":"print"},{"value":"9783319466729","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-46672-9_46","type":"book-chapter","created":{"date-parts":[[2016,9,29]],"date-time":"2016-09-29T08:25:48Z","timestamp":1475137548000},"page":"411-418","source":"Crossref","is-referenced-by-count":1,"title":["An Incremental One Class Learning Framework for Large Scale Data"],"prefix":"10.1007","author":[{"given":"Qilin","family":"Deng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Furao","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaomin","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinxi","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,30]]},"reference":[{"key":"46_CR1","unstructured":"Tax, D.M.J.: One-class classification: concept-learning in the absence of counterexamples. Ph.D. thesis, Delft University of Technology (2001)"},{"issue":"1","key":"46_CR2","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1023\/B:MACH.0000008084.60811.49","volume":"54","author":"DMJ Tax","year":"2004","unstructured":"Tax, D.M.J., Duin, R.P.W.: Support vector data description. Mach. Learn. 54(1), 45\u201366 (2004)","journal-title":"Mach. Learn."},{"issue":"7","key":"46_CR3","doi-asserted-by":"publisher","first-page":"1443","DOI":"10.1162\/089976601750264965","volume":"13","author":"B Scholkopf","year":"2001","unstructured":"Scholkopf, B., Platt, J.C., Shawe-Taylor, J.C., Smola, A.J., Williamson, R.C.: Estimating the support of a high-dimensional distribution. Neural Comput. 13(7), 1443\u20131471 (2001)","journal-title":"Neural Comput."},{"key":"46_CR4","doi-asserted-by":"publisher","unstructured":"Tax, D.M.J., Laskov, P.: Online SVM learning: from classification to data description and back. In: Proceedings of the 13th IEEE NNSP Workshop. IEEE Computer Society Press, Los Alamitos (2003)","DOI":"10.1109\/NNSP.2003.1318049"},{"key":"46_CR5","doi-asserted-by":"publisher","unstructured":"Martinetz, T.M.: Competitive Hebbian learning rule forms perfectly topology preserving maps. In: International Conference on Artificial Neural Networks, pp. 427\u2013434 (1993)","DOI":"10.1007\/978-1-4471-2063-6_104"},{"key":"46_CR6","unstructured":"Fritzke, B.: A growing neural gas network learns topologies. In: Proceedings of the Advances in Neural Information Processing Systems, pp. 625\u2013632 (1995)"},{"issue":"1","key":"46_CR7","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1016\/j.neunet.2005.04.006","volume":"19","author":"F Shen","year":"2006","unstructured":"Shen, F., Hasegawa, O.: An incremental network for on-line unsupervised classifica-tion and topology learning. Neural Netw. 19(1), 90\u2013106 (2006)","journal-title":"Neural Netw."},{"issue":"7","key":"46_CR8","doi-asserted-by":"publisher","first-page":"1859","DOI":"10.1016\/j.neucom.2008.05.003","volume":"72","author":"P Juszczak","year":"2009","unstructured":"Juszczak, P., Tax, D.M.J., Duin, R.P.W.: Minimum spanning tree based one-class classifier. Neurocomputing 72(7), 1859\u20131869 (2009)","journal-title":"Neurocomputing"},{"key":"46_CR9","doi-asserted-by":"publisher","unstructured":"Breunig, M.M., Kriegel, H.P., Ng, R.T., Sander, J.: LOF: identifying density-based local outliers. In: Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, pp. 93\u2013104 (2000)","DOI":"10.1145\/342009.335388"},{"key":"46_CR10","volume-title":"UCI Machine Learning Repository","author":"A Asuncion","year":"2007","unstructured":"Asuncion, A., Newman, D.: UCI Machine Learning Repository. University of California, Irvine (2007)"},{"issue":"3","key":"46_CR11","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1145\/1961189.1961199","volume":"2","author":"C Chang","year":"2011","unstructured":"Chang, C., Lin, C.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2(3), 389\u2013396 (2011). \nhttp:\/\/www.csie.ntu.edu.tw\/cjlin\/libsvm","journal-title":"ACM Trans. Intell. Syst. Technol."}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46672-9_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,4,17]],"date-time":"2017-04-17T10:50:29Z","timestamp":1492426229000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-46672-9_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319466712","9783319466729"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46672-9_46","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}