{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T14:18:20Z","timestamp":1787321900341,"version":"build-2736575974"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2020,8,9]],"date-time":"2020-08-09T00:00:00Z","timestamp":1596931200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,8,9]],"date-time":"2020-08-09T00:00:00Z","timestamp":1596931200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100010903","name":"Key Programme","doi-asserted-by":"publisher","award":["51634002"],"award-info":[{"award-number":["51634002"]}],"id":[{"id":"10.13039\/501100010903","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2021,2]]},"DOI":"10.1007\/s13042-020-01183-7","type":"journal-article","created":{"date-parts":[[2020,8,9]],"date-time":"2020-08-09T07:02:41Z","timestamp":1596956561000},"page":"501-513","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Using multiple classifier behavior to develop a dynamic outlier ensemble"],"prefix":"10.1007","volume":"12","author":[{"given":"Ping","family":"Yuan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Biao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhizhong","family":"Mao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,8,9]]},"reference":[{"issue":"1","key":"1183_CR1","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1145\/2830544.2830549","volume":"17","author":"CC Aggarwal","year":"2015","unstructured":"Aggarwal CC, Sathe S (2015) Theoretical foundations and algorithms for outlier ensembles. ACM SIGKDD Explor Newsl 17(1):24\u201347","journal-title":"ACM SIGKDD Explor Newsl"},{"key":"1183_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54765-7","volume-title":"Outlier ensembles","author":"CC Aggarwal","year":"2017","unstructured":"Aggarwal CC, Sathe S (2017) Outlier ensembles. Springer, Berlin"},{"issue":"1","key":"1183_CR3","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1007\/s10618-013-0334-x","volume":"29","author":"S Ando","year":"2015","unstructured":"Ando S, Thanomphongphan T, Seki Y, Suzuki E (2015) Ensemble anomaly detection from multi-resolution trajectory features. Data Min Knowl Disc 29(1):39\u201383","journal-title":"Data Min Knowl Disc"},{"issue":"4","key":"1183_CR4","doi-asserted-by":"publisher","first-page":"891","DOI":"10.1007\/s10618-015-0444-8","volume":"30","author":"GO Campos","year":"2016","unstructured":"Campos GO, Zimek A, Sander J, Campello RJGB, Micenkov\u00e1 B, Schubert E, Houle ME (2016) On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Min Knowl Disc 30(4):891\u2013927","journal-title":"Data Min Knowl Disc"},{"issue":"3","key":"1183_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1541880.1541882","volume":"41","author":"V Chandola","year":"2009","unstructured":"Chandola V, Banerjee A, Kumar V (2009) Anomaly detection: a survey. ACM Comput Surv 41(3):1\u201358","journal-title":"ACM Comput Surv"},{"issue":"4","key":"1183_CR6","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1007\/s13042-011-0066-4","volume":"3","author":"IT Christou","year":"2012","unstructured":"Christou IT, Gekas G, Kyrikou A (2012) A classifier ensemble approach to the TV-viewer profile adaptation problem. Int J Mach Learn Cybern 3(4):313\u2013326","journal-title":"Int J Mach Learn Cybern"},{"issue":"1","key":"1183_CR7","first-page":"1","volume":"7","author":"J Demsar","year":"2006","unstructured":"Demsar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7(1):1\u201330","journal-title":"J Mach Learn Res"},{"key":"1183_CR8","unstructured":"Fan W, Miller M, Miller M (2001) Using artificial anomalies to detect unknown and known network intrusions. In: Paper presented at the International Conference on Data Mining"},{"issue":"18","key":"1183_CR9","doi-asserted-by":"publisher","first-page":"2378","DOI":"10.1016\/j.fss.2007.12.023","volume":"159","author":"A Fernandez","year":"2008","unstructured":"Fernandez A, Garcia S, Jesus MJD, Herrera F (2008) A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets. Fuzzy Sets Syst 159(18):2378\u20132398","journal-title":"Fuzzy Sets Syst"},{"key":"1183_CR10","doi-asserted-by":"crossref","unstructured":"Gao J, Tan PN (2006) Converting output scores from outlier detection algorithms into probability estimates. In: Paper presented at the Sixth International Conference on Data Mining","DOI":"10.1109\/ICDM.2006.43"},{"key":"1183_CR11","unstructured":"Giacinto G, Roli F (1999) Methods for dynamic classifier selection. In: Paper presented at the Proceedings of 10th International Conference on Image Analysis and Processing"},{"issue":"9","key":"1183_CR12","doi-asserted-by":"publisher","first-page":"1879","DOI":"10.1016\/S0031-3203(00)00150-3","volume":"34","author":"G Giacinto","year":"2001","unstructured":"Giacinto G, Roli F (2001) Dynamic classifier selection based on multiple classifier behaviour. Pattern Recogn 34(9):1879\u20131881","journal-title":"Pattern Recogn"},{"key":"1183_CR13","unstructured":"Hempstalk K, Frank E, Witten IH (2008) One-class classification by combining density and class probability estimation. In: Paper presented at the Joint European Conference on Machine Learning and Knowledge Discovery in Databases"},{"issue":"3","key":"1183_CR14","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1109\/TKDE.2005.50","volume":"17","author":"J Huang","year":"2005","unstructured":"Huang J, Ling CX (2005) Using AUC and accuracy in evaluating learning algorithms. IEEE Trans Knowl Data Eng 17(3):299\u2013310","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"1","key":"1183_CR15","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1109\/34.368145","volume":"17","author":"YS Huang","year":"1995","unstructured":"Huang YS, Suen CY (1995) A method of combining multiple experts for the recognition of unconstrained handwritten numerals. Pattern Anal Mach Intell IEEE Trans 17(1):90\u201394","journal-title":"Pattern Anal Mach Intell IEEE Trans"},{"issue":"6","key":"1183_CR16","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1080\/03610928008827904","volume":"9","author":"RL Iman","year":"1979","unstructured":"Iman RL, Davenport JM (1979) Approximations of the critical region of the Friedman statistic. Commun Stat 9(6):571\u2013595","journal-title":"Commun Stat"},{"issue":"150","key":"1183_CR17","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1016\/j.neucom.2014.07.068","volume":"150","author":"B Krawczyk","year":"2015","unstructured":"Krawczyk B (2015) One-class classifier ensemble pruning and weighting with firefly algorithm. Neurocomputing 150(150):490\u2013500","journal-title":"Neurocomputing"},{"key":"1183_CR18","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.knosys.2016.05.054","volume":"107","author":"B Krawczyk","year":"2016","unstructured":"Krawczyk B (2016) Dynamic classifier selection for one-class classification. Knowl-Based Syst 107:43\u201353","journal-title":"Knowl-Based Syst"},{"issue":"6","key":"1183_CR19","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1016\/j.ins.2013.12.019","volume":"264","author":"B Krawczyk","year":"2014","unstructured":"Krawczyk B, Wo\u017aniak M, Cyganek B (2014) Clustering-based ensembles for one-class classification. Inf Sci 264(6):182\u2013195","journal-title":"Inf Sci"},{"issue":"2","key":"1183_CR20","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1109\/3477.990871","volume":"32","author":"LI Kuncheva","year":"2002","unstructured":"Kuncheva LI (2002) Switching between selection and fusion in combining classifiers: an experiment. IEEE Trans Syst Man Cybern Part B: Cybern 32(2):146\u2013156","journal-title":"IEEE Trans Syst Man Cybern Part B: Cybern"},{"issue":"2","key":"1183_CR21","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1023\/A:1022859003006","volume":"51","author":"LI Kuncheva","year":"2003","unstructured":"Kuncheva LI, Whitaker CJ (2003) Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Mach Learn 51(2):181\u2013207","journal-title":"Mach Learn"},{"key":"1183_CR22","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1016\/j.patcog.2017.06.030","volume":"72","author":"DVR Oliveira","year":"2017","unstructured":"Oliveira DVR, Cavalcanti GDC, Sabourin R (2017) Online pruning of base classifiers for dynamic ensemble selection. Pattern Recogn 72:44\u201358","journal-title":"Pattern Recogn"},{"key":"1183_CR23","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1016\/j.neucom.2015.03.051","volume":"166","author":"E Parhizkar","year":"2015","unstructured":"Parhizkar E, Abadi M (2015) BeeOWA: a novel approach based on ABC algorithm and induced OWA operators for constructing one-class classifier ensembles. Neurocomputing 166:367\u2013381","journal-title":"Neurocomputing"},{"key":"1183_CR24","doi-asserted-by":"publisher","first-page":"1184","DOI":"10.1109\/TPAMI.2002.1033211","volume":"9","author":"G R\u00e4tsch","year":"2002","unstructured":"R\u00e4tsch G, Mika S, Sch\u00f6lkopf B, M\u00fcller K-R (2002) Constructing boosting algorithms from SVMs: An application to one-class classification. IEEE Trans Pattern Anal Mach Intell 9:1184\u20131199","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1183_CR25","doi-asserted-by":"crossref","unstructured":"Rayana S, Zhong W, Akoglu L (2016) Sequential ensemble learning for outlier detection: A bias-variance perspective. In: Paper presented at the 2016 IEEE 16th International Conference on Data Mining (ICDM)","DOI":"10.1109\/ICDM.2016.0154"},{"key":"1183_CR26","doi-asserted-by":"crossref","unstructured":"Salehi M, Zhang X, Bezdek JC, Leckie C (2016). Smart sampling: a novel unsupervised boosting approach for outlier detection. In: Paper presented at the Australasian Joint Conference on Artificial Intelligence","DOI":"10.1007\/978-3-319-50127-7_40"},{"issue":"04","key":"1183_CR27","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1142\/S0218001409007326","volume":"23","author":"Y Sun","year":"2009","unstructured":"Sun Y, Wong AKC, Kamel MS (2009) Classification of imbalanced data: a review. Int J Pattern Recognit Artif Intell 23(04):687\u2013719","journal-title":"Int J Pattern Recognit Artif Intell"},{"key":"1183_CR28","first-page":"155","volume":"2","author":"DM Tax","year":"2001","unstructured":"Tax DM, Duin RP (2001) Uniform object generation for optimizing one-class classifiers. J Mach Learn Res 2:155\u2013173","journal-title":"J Mach Learn Res"},{"issue":"9","key":"1183_CR29","doi-asserted-by":"publisher","first-page":"1475","DOI":"10.1016\/S0031-3203(99)00138-7","volume":"33","author":"DMJ Tax","year":"2000","unstructured":"Tax DMJ, Breukelen MV, Duin RPW, Kittler J (2000) Combining multiple classifiers by averaging or by multiplying? Pattern Recogn 33(9):1475\u20131485","journal-title":"Pattern Recogn"},{"key":"1183_CR30","doi-asserted-by":"crossref","unstructured":"Tax DMJ, Duin RPW (2001) Combining One-Class Classifiers. In: Paper presented at the International Workshop on Multiple Classifier Systems","DOI":"10.1007\/3-540-48219-9_30"},{"issue":"12","key":"1183_CR31","doi-asserted-by":"publisher","first-page":"3466","DOI":"10.1177\/0142331217724508","volume":"40","author":"B Wang","year":"2017","unstructured":"Wang B, Mao Z (2017) One-class classifiers ensemble based anomaly detection scheme for process control systems. Trans Inst Measur Control 40(12):3466\u20133476","journal-title":"Trans Inst Measur Control"},{"key":"1183_CR32","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1016\/j.inffus.2019.02.006","volume":"51","author":"B Wang","year":"2019","unstructured":"Wang B, Mao Z (2019) Outlier detection based on a dynamic ensemble model: applied to process monitoring. Inf Fusion 51:244\u2013258","journal-title":"Inf Fusion"},{"key":"1183_CR33","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1016\/j.chaos.2017.07.018","volume":"103","author":"B Wang","year":"2017","unstructured":"Wang B, Mao Z, Huang K (2017) Detecting outliers in complex nonlinear systems controlled by predictive control strategy. Chaos Solitons Fract 103:588\u2013595","journal-title":"Chaos Solitons Fract"},{"issue":"10","key":"1183_CR34","doi-asserted-by":"publisher","first-page":"1532","DOI":"10.1109\/TNN.2011.2161999","volume":"22","author":"H Zhang","year":"2011","unstructured":"Zhang H, Gang L, Chow TWS, Wenyin L (2011) Textual and visual content-based anti-phishing: a Bayesian approach. IEEE Trans Neural Netw 22(10):1532\u20131546","journal-title":"IEEE Trans Neural Netw"},{"issue":"2","key":"1183_CR35","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1007\/s10618-009-0138-1","volume":"19","author":"Q-L Zhao","year":"2009","unstructured":"Zhao Q-L, Jiang Y-H, Xu M (2009) A fast ensemble pruning algorithm based on pattern mining process. Data Min Knowl Disc 19(2):277\u2013292","journal-title":"Data Min Knowl Disc"},{"issue":"1","key":"1183_CR36","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1145\/2594473.2594476","volume":"15","author":"A Zimek","year":"2014","unstructured":"Zimek A, Campello RJ, Sander J (2014) Ensembles for unsupervised outlier detection: challenges and research questions a position paper. ACM SIGKDD Explor Newsl 15(1):11\u201322","journal-title":"ACM SIGKDD Explor Newsl"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-020-01183-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-020-01183-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-020-01183-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,8]],"date-time":"2021-08-08T23:50:07Z","timestamp":1628466607000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-020-01183-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,9]]},"references-count":36,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2021,2]]}},"alternative-id":["1183"],"URL":"https:\/\/doi.org\/10.1007\/s13042-020-01183-7","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8,9]]},"assertion":[{"value":"11 January 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 August 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 August 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"No conflict of interest exits in the submission of this manuscript, and manuscript is approved by all authors for publication. I would like to declare on behalf of my co-authors that the work described was original research that has not been published previously, and not under consideration for publication elsewhere, in whole or in part. All the authors listed have approved the manuscript that is enclosed.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}