{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T17:35:17Z","timestamp":1772559317435,"version":"3.50.1"},"reference-count":28,"publisher":"Elsevier BV","issue":"7","license":[{"start":{"date-parts":[[2014,6,1]],"date-time":"2014-06-01T00:00:00Z","timestamp":1401580800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2014,6,1]],"date-time":"2014-06-01T00:00:00Z","timestamp":1401580800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002701","name":"Ministry of Education","doi-asserted-by":"publisher","award":["2013R1A1A2010019"],"award-info":[{"award-number":["2013R1A1A2010019"]}],"id":[{"id":"10.13039\/501100002701","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002994","name":"Ministry of Knowledge Economy","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002994","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003665","name":"National IT Industry Promotion Agency","doi-asserted-by":"publisher","award":["I2218-13-1004"],"award-info":[{"award-number":["I2218-13-1004"]}],"id":[{"id":"10.13039\/501100003665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2014,6]]},"DOI":"10.1016\/j.eswa.2013.11.025","type":"journal-article","created":{"date-parts":[[2013,12,5]],"date-time":"2013-12-05T03:31:14Z","timestamp":1386214274000},"page":"3343-3350","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":91,"title":["Density weighted support vector data description"],"prefix":"10.1016","volume":"41","author":[{"given":"Myungraee","family":"Cha","sequence":"first","affiliation":[]},{"given":"Jun Seok","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Jun-Geol","family":"Baek","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2013.11.025_b0005","unstructured":"Bache, K. & Lichman, M. (2013). UCI Machine Learning Repository <http:\/\/archive.ics.uci.edu\/ml>. Irvine, CA: University of California, School of Information and Computer Science."},{"issue":"10","key":"10.1016\/j.eswa.2013.11.025_b0010","doi-asserted-by":"crossref","first-page":"1148","DOI":"10.1016\/j.patrec.2009.07.002","article-title":"A support vector domain method for change detection in multitemporal images","volume":"31","author":"Bovolo","year":"2010","journal-title":"Pattern Recognition Letters"},{"key":"10.1016\/j.eswa.2013.11.025_b0015","doi-asserted-by":"crossref","unstructured":"Dong, X., Zhaohui, W., & Wanfeng, Z. (2001). Support vector domain description for speaker recognition. In Neural networks for signal processing XI, 2001. Proceedings of the 2001 IEEE signal processing society, workshop (pp. 481\u2013488).","DOI":"10.1109\/NNSP.2001.943152"},{"issue":"18","key":"10.1016\/j.eswa.2013.11.025_b0020","doi-asserted-by":"crossref","first-page":"7242","DOI":"10.1016\/j.eswa.2013.06.074","article-title":"Abrupt change detection with one-class time-adaptive support vector machines","volume":"40","author":"Grinblat","year":"2013","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"10.1016\/j.eswa.2013.11.025_b0025","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.patcog.2008.07.003","article-title":"A boundary method for outlier detection based on support vector domain description","volume":"42","author":"Guo","year":"2009","journal-title":"Pattern Recognition"},{"issue":"2","key":"10.1016\/j.eswa.2013.11.025_b0030","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1007\/BF02985802","article-title":"The elements of statistical learning: data mining, inference and prediction","volume":"27","author":"Hastie","year":"2005","journal-title":"The Mathematical Intelligencer"},{"issue":"6","key":"10.1016\/j.eswa.2013.11.025_b0040","doi-asserted-by":"crossref","first-page":"1997","DOI":"10.1016\/j.patcog.2007.11.012","article-title":"Domain density description for multiclass pattern classification with reduced computational load","volume":"41","author":"Kang","year":"2008","journal-title":"Pattern Recognition"},{"issue":"4","key":"10.1016\/j.eswa.2013.11.025_b0035","doi-asserted-by":"crossref","first-page":"3899","DOI":"10.1016\/j.eswa.2011.06.033","article-title":"A differentiated one-class classification method with applications to intrusion detection","volume":"39","author":"Kang","year":"2012","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2013.11.025_b0050","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1007\/978-3-642-30353-1_32","article-title":"Bayesian multiple imputation approaches for one-class classification","author":"Khan","year":"2012","journal-title":"Advances in Artificial Intelligence"},{"key":"10.1016\/j.eswa.2013.11.025_b0045","first-page":"188","article-title":"A survey of recent trends in one class classification","author":"Khan","year":"2010","journal-title":"Artificial Intelligence and Cognitive Science"},{"issue":"05","key":"10.1016\/j.eswa.2013.11.025_b0055","doi-asserted-by":"crossref","first-page":"867","DOI":"10.1142\/S0218001404003459","article-title":"A study on combining image representations for image classification and retrieval","volume":"18","author":"Lai","year":"2004","journal-title":"International Journal of Pattern Recognition and Artificial Intelligence"},{"issue":"10","key":"10.1016\/j.eswa.2013.11.025_b0060","doi-asserted-by":"crossref","first-page":"1768","DOI":"10.1016\/j.patcog.2005.03.020","article-title":"Improving support vector data description using local density degree","volume":"38","author":"Lee","year":"2005","journal-title":"Pattern Recognition"},{"issue":"1","key":"10.1016\/j.eswa.2013.11.025_b0065","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1109\/TNN.2006.884673","article-title":"Density-induced support vector data description","volume":"18","author":"Lee","year":"2007","journal-title":"Neural Networks, IEEE Transactions on"},{"issue":"9","key":"10.1016\/j.eswa.2013.11.025_b0070","doi-asserted-by":"crossref","first-page":"1809","DOI":"10.1016\/j.patcog.2006.04.033","article-title":"Low resolution face recognition based on support vector data description","volume":"39","author":"Lee","year":"2006","journal-title":"Pattern Recognition"},{"issue":"2","key":"10.1016\/j.eswa.2013.11.025_b0080","doi-asserted-by":"crossref","first-page":"1978","DOI":"10.1016\/j.eswa.2007.12.015","article-title":"Automatic target defect identification for TFT-LCD array process inspection using kernel FCM-based fuzzy SVDD ensemble","volume":"36","author":"Liu","year":"2009","journal-title":"Expert Systems with Applications"},{"issue":"8","key":"10.1016\/j.eswa.2013.11.025_b0085","doi-asserted-by":"crossref","first-page":"1296","DOI":"10.1109\/TNN.2010.2053853","article-title":"Fast support vector data descriptions for novelty detection","volume":"21","author":"Liu","year":"2010","journal-title":"Neural Networks, IEEE Transactions on"},{"issue":"5","key":"10.1016\/j.eswa.2013.11.025_b0090","doi-asserted-by":"crossref","first-page":"6222","DOI":"10.1016\/j.eswa.2010.11.046","article-title":"High-speed inline defect detection for TFT-LCD array process using a novel support vector data description","volume":"38","author":"Liu","year":"2011","journal-title":"Expert Systems with Applications"},{"issue":"3","key":"10.1016\/j.eswa.2013.11.025_b0075","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1007\/s10115-012-0484-y","article-title":"SVDD-based outlier detection on uncertain data","volume":"34","author":"Liu","year":"2013","journal-title":"Knowledge and Information Systems"},{"issue":"8","key":"10.1016\/j.eswa.2013.11.025_b0095","doi-asserted-by":"crossref","first-page":"10554","DOI":"10.1016\/j.eswa.2011.02.087","article-title":"A SVDD approach of fuzzy classification for analog circuit fault diagnosis with FWT as preprocessor","volume":"38","author":"Luo","year":"2011","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2013.11.025_b0100","first-page":"29","article-title":"One-class classifiers: A review and analysis of suitability in the context of mobile-masquerader detection","volume":"36","author":"Mazhelis","year":"2006","journal-title":"South African Computer Journal"},{"issue":"1","key":"10.1016\/j.eswa.2013.11.025_b0105","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.csda.2003.10.008","article-title":"A method of simulating multivariate nonnormal distributions by the Pearson distribution system and estimation","volume":"47","author":"Nagahara","year":"2004","journal-title":"Computational Statistics & Data Analysis"},{"key":"10.1016\/j.eswa.2013.11.025_b0110","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1098\/rsta.1895.0010","article-title":"Contributions to the mathematical theory of evolution. II. Skew variation in homogeneous material","volume":"186","author":"Pearson","year":"1895","journal-title":"Philosophical Transactions of the Royal Society of London A"},{"key":"10.1016\/j.eswa.2013.11.025_b0115","first-page":"76960X-1","article-title":"A support vector data description scheme for hyperspectral target detection using first-order Markov modeling","volume":"7696","author":"Sakla","year":"2010","journal-title":"Proceedings of SPIE"},{"issue":"5","key":"10.1016\/j.eswa.2013.11.025_b0120","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/j.media.2007.07.008","article-title":"A path algorithm for the support vector domain description and its application to medical imaging","volume":"11","author":"Sj\u00f6strand","year":"2007","journal-title":"Medical Image Analysis"},{"key":"10.1016\/j.eswa.2013.11.025_b0130","first-page":"155","article-title":"Uniform object generation for optimizing one-class classifiers","volume":"2","author":"Tax","year":"2002","journal-title":"The Journal of Machine Learning Research"},{"issue":"1","key":"10.1016\/j.eswa.2013.11.025_b0135","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1023\/B:MACH.0000008084.60811.49","article-title":"Support vector data description","volume":"54","author":"Tax","year":"2004","journal-title":"Machine Learning"},{"issue":"4","key":"10.1016\/j.eswa.2013.11.025_b0145","doi-asserted-by":"crossref","first-page":"7928","DOI":"10.1016\/j.eswa.2008.10.062","article-title":"Fault classifier of rotating machinery based on weighted support vector data description","volume":"36","author":"Zhang","year":"2009","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2013.11.025_b0140","doi-asserted-by":"crossref","DOI":"10.1016\/j.apenergy.2012.12.043","article-title":"Pattern recognition-based chillers fault detection method using support vector data description (SVDD)","author":"Zhao","year":"2013","journal-title":"Applied Energy"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417413009457?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417413009457?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T04:27:35Z","timestamp":1760675255000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417413009457"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,6]]},"references-count":28,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2014,6]]}},"alternative-id":["S0957417413009457"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2013.11.025","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2014,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Density weighted support vector data description","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2013.11.025","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Copyright \u00a9 2013 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}