{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,26]],"date-time":"2024-06-26T11:40:04Z","timestamp":1719402004752},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2017,8,20]],"date-time":"2017-08-20T00:00:00Z","timestamp":1503187200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pattern Anal Applic"],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1007\/s10044-017-0646-3","type":"journal-article","created":{"date-parts":[[2017,8,20]],"date-time":"2017-08-20T10:27:26Z","timestamp":1503224846000},"page":"491-504","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Adaptive three-phase support vector data description"],"prefix":"10.1007","volume":"22","author":[{"given":"M.","family":"Rahmanimanesh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. A.","family":"Nasiri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Jalili","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"N.","family":"Moghaddam Charkari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,8,20]]},"reference":[{"key":"646_CR1","unstructured":"Tax DMJ (2001) One class classification. Ph.D. thesis, Delft University of Technology"},{"issue":"12","key":"646_CR2","doi-asserted-by":"publisher","first-page":"3387","DOI":"10.1007\/s00500-014-1492-5","volume":"19","author":"B Krawczyk","year":"2015","unstructured":"Krawczyk B, Wozniak M (2015) One-class classifiers with incremental learning and forgetting for data streams with concept drift. Soft Comput 19(12):3387\u20133400","journal-title":"Soft Comput"},{"key":"646_CR3","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.jocs.2015.04.024","volume":"9","author":"B Krawczyk","year":"2015","unstructured":"Krawczyk B, Wozniak M (2015) Incremental weighted one-class classifier for mining stationary data streams. J Comput Sci 9:19\u201325","journal-title":"J Comput Sci"},{"key":"646_CR4","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1016\/j.asoc.2015.05.043","volume":"35","author":"DT Nguyen","year":"2015","unstructured":"Nguyen DT, Cios KJ (2015) Rule-based oneclass-ds learning algorithm. Appl Soft Comput 35:267\u2013279","journal-title":"Appl Soft Comput"},{"key":"646_CR5","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural networks for pattern recognition","author":"C Bishop","year":"1995","unstructured":"Bishop C (1995) Neural networks for pattern recognition. Oxford University Press, Oxford"},{"key":"646_CR6","volume-title":"Pattern Classification","author":"RO Duda","year":"2000","unstructured":"Duda RO, Hart PE, Stork DG (2000) Pattern Classification, 2nd edn. Wiley, New York","edition":"2"},{"issue":"3","key":"646_CR7","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1080\/00031305.1992.10475879","volume":"46","author":"NS Altman","year":"1992","unstructured":"Altman NS (1992) An introduction to kernel and nearest-neighbor nonparametric regression. Am Stat 46(3):175\u2013185","journal-title":"Am Stat"},{"key":"646_CR8","doi-asserted-by":"publisher","first-page":"1443","DOI":"10.1162\/089976601750264965","volume":"13","author":"B Scholkopf","year":"2001","unstructured":"Scholkopf B, Platt JC, Taylor JS, Smola AJ, Williamson RC (2001) Estimating the support of a high dimensional distribution. Neural Comput 13:1443\u20131471","journal-title":"Neural Comput"},{"key":"646_CR9","doi-asserted-by":"publisher","first-page":"1191","DOI":"10.1016\/S0167-8655(99)00087-2","volume":"20","author":"DMJ Tax","year":"1999","unstructured":"Tax DMJ, Duin RPW (1999) Support vector domain description. Pattern Recognit Lett 20:1191\u20131199","journal-title":"Pattern Recognit Lett"},{"issue":"1","key":"646_CR10","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1023\/B:MACH.0000008084.60811.49","volume":"54","author":"DMJ Tax","year":"2004","unstructured":"Tax DMJ, Duin RPW (2004) Support vector data description. Mach Learn 54(1):45\u201366","journal-title":"Mach Learn"},{"key":"646_CR11","volume-title":"Algorithms for clustering data","author":"AK Jain","year":"1988","unstructured":"Jain AK, Dubes RC (1988) Algorithms for clustering data. Prentice-Hall, Englewood Cliffs"},{"key":"646_CR12","volume-title":"The handbook of brain theory and neural networks","author":"T Kohonen","year":"1995","unstructured":"Kohonen T (1995) The handbook of brain theory and neural networks. MIT Press, Cambridge"},{"key":"646_CR13","volume-title":"Principal component analysis","author":"I Jolliffe","year":"2002","unstructured":"Jolliffe I (2002) Principal component analysis, 2nd edn. Springer, Berlin","edition":"2"},{"key":"646_CR14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-56927-2","volume-title":"Self-organizing maps","author":"T Kohonen","year":"2001","unstructured":"Kohonen T (2001) Self-organizing maps, 3rd edn. Springer, Berlin","edition":"3"},{"key":"646_CR15","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. Neurocomput 150:490\u2013500","journal-title":"Neurocomput"},{"issue":"12","key":"646_CR16","doi-asserted-by":"publisher","first-page":"3969","DOI":"10.1016\/j.patcog.2015.06.001","volume":"48","author":"B Krawczyk","year":"2015","unstructured":"Krawczyk B, Wozniak M, Herrera F (2015) On the usefulness of one-class classifier ensembles for decomposition of multi-class problems. Pattern Recognit 48(12):3969\u20133982","journal-title":"Pattern Recognit"},{"key":"646_CR17","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, Wozniak M, Cyganek B (2014) Clustering-based ensembles for one-class classification. Inf Sci 264:182\u2013195","journal-title":"Inf Sci"},{"key":"646_CR18","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1016\/j.neucom.2013.01.053","volume":"126","author":"B Krawczyk","year":"2014","unstructured":"Krawczyk B, Wozniak M (2014) Diversity measures for one-class classifier ensembles. Neurocomput 126:36\u201344","journal-title":"Neurocomput"},{"issue":"2","key":"646_CR19","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1007\/s10851-011-0304-0","volume":"42","author":"B Cyganek","year":"2012","unstructured":"Cyganek B (2012) One-class support vector ensembles for image segmentation and classification. J Math Imaging Vis 42(2):103\u2013117","journal-title":"J Math Imaging Vis"},{"issue":"1","key":"646_CR20","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/j.neucom.2011.02.023","volume":"75","author":"T Wilk","year":"2012","unstructured":"Wilk T, Wozniak M (2012) Soft computing methods applied to combination of one-class classifiers. Neurocomput 75(1):185\u2013193","journal-title":"Neurocomput"},{"issue":"3","key":"646_CR21","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1504\/IJAHUC.2013.058233","volume":"14","author":"M Rahmanimanesh","year":"2013","unstructured":"Rahmanimanesh M, Jalili S, Sharafat AR (2013) Fusion of one-class classifiers for protocol-based anomaly detection in aodv-based mobile ad hoc networks. Int J Ad Hoc Ubiquitous Comput 14(3):158\u2013171","journal-title":"Int J Ad Hoc Ubiquitous Comput"},{"issue":"3","key":"646_CR22","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1142\/S021800140300240X","volume":"17","author":"DMJ Tax","year":"2003","unstructured":"Tax DMJ, Juszczak P (2003) Kernel whitening for one-class classification. Int J Pattern Recognit Artif Intell 17(3):333\u2013347","journal-title":"Int J Pattern Recognit Artif Intell"},{"key":"646_CR23","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.patcog.2008.07.003","volume":"42","author":"SM Guo","year":"2009","unstructured":"Guo SM, Chen LC, Tsai JSH (2009) A boundary method for outlier detection based on support vector domain description. Pattern Recognit 42:77\u201383","journal-title":"Pattern Recognit"},{"issue":"1","key":"646_CR24","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1109\/TNN.2006.884673","volume":"18","author":"K Lee","year":"2007","unstructured":"Lee K, Kim D, Lee KH, Lee D (2007) Density-induced support vector data description. IEEE Trans Neural Netw 18(1):284\u2013289","journal-title":"IEEE Trans Neural Netw"},{"key":"646_CR25","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1109\/21.87068","volume":"18","author":"RR Yager","year":"1988","unstructured":"Yager RR (1988) On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Trans Syst Man Cybern 18:183\u2013190","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"646_CR26","doi-asserted-by":"publisher","first-page":"9761","DOI":"10.1016\/j.eswa.2011.02.023","volume":"38","author":"JM Merigo","year":"2011","unstructured":"Merigo JM, Gil-Lafuente AM (2011) Fuzzy induced generalized aggregation operators and its application in multi-person decision making. Expert Syst Appl 38:9761\u20139772","journal-title":"Expert Syst Appl"},{"key":"646_CR27","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.cie.2010.09.017","volume":"60","author":"JM Merigo","year":"2011","unstructured":"Merigo JM, Casanovas M (2011) Decision-making with distance measures and induced aggregation operators. Comput Ind Eng 60:66\u201376","journal-title":"Comput Ind Eng"},{"issue":"3","key":"646_CR28","first-page":"826","volume":"4","author":"HP Huang","year":"2002","unstructured":"Huang HP, Liu YH (2002) Fuzzy support vector machines for pattern recognition and data mining. Int J Fuzzy Syst 4(3):826\u2013835","journal-title":"Int J Fuzzy Syst"},{"issue":"2","key":"646_CR29","doi-asserted-by":"publisher","first-page":"464","DOI":"10.1109\/72.991432","volume":"13","author":"CF Lin","year":"2002","unstructured":"Lin CF, Wang SD (2002) Fuzzy support vector machines. IEEE Trans Neural Netw 13(2):464\u2013471","journal-title":"IEEE Trans Neural Netw"},{"key":"646_CR30","doi-asserted-by":"publisher","first-page":"8714","DOI":"10.1016\/j.eswa.2008.03.026","volume":"36","author":"Y Zhang","year":"2009","unstructured":"Zhang Y, Chi ZX, Li KQ (2009) Fuzzy multi-class classifier based on support vector data description and improved pcm. Expert Syst Appl 36:8714\u20138718","journal-title":"Expert Syst Appl"},{"key":"646_CR31","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-011-0208-z","author":"Y Forghani","year":"2011","unstructured":"Forghani Y, Yazdi HS, Effati S (2011) An extension to fuzzy support vector data description (fsvdd*). Pattern Anal Appl. doi: 10.1007\/s10044-011-0208-z","journal-title":"Pattern Anal Appl"},{"issue":"3","key":"646_CR32","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1007\/s10115-012-0484-y","volume":"34","author":"B Liu","year":"2013","unstructured":"Liu B, Xiao Y, Cao L, Hao Z, Deng F (2013) Svdd-based outlier detection on uncertain data. Knowl Inf Syst 34(3):597\u2013618","journal-title":"Knowl Inf Syst"},{"key":"646_CR33","doi-asserted-by":"publisher","first-page":"320","DOI":"10.1016\/j.patcog.2010.08.025","volume":"44","author":"G Huang","year":"2011","unstructured":"Huang G, Chen H, Zhou Z, Yin F, Guo K (2011) Two-class support vector data description. Pattern Recognit 44:320\u2013329","journal-title":"Pattern Recognit"},{"key":"646_CR34","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/s10922-010-9165-x","volume":"18","author":"M GhasemiGol","year":"2010","unstructured":"GhasemiGol M, Monsefi R, Yazdi HS (2010) Intrusion detection by ellipsoid boundary. J Netw Syst Manag 18:265\u2013282","journal-title":"J Netw Syst Manag"},{"issue":"8","key":"646_CR35","doi-asserted-by":"publisher","first-page":"2023","DOI":"10.1007\/s00521-011-0625-3","volume":"21","author":"X Peng","year":"2012","unstructured":"Peng X, Xu D (2012) Efficient support vector data descriptions for novelty detection. Neural Comput Appl 21(8):2023\u20132032","journal-title":"Neural Comput Appl"},{"issue":"8","key":"646_CR36","doi-asserted-by":"publisher","first-page":"1296","DOI":"10.1109\/TNN.2010.2053853","volume":"21","author":"YH Liu","year":"2010","unstructured":"Liu YH, Liu YC, Chen YJ (2010) Fast support vector data description for novelty detection. IEEE Trans Neural Netw 21(8):1296\u20131313","journal-title":"IEEE Trans Neural Netw"},{"key":"646_CR37","doi-asserted-by":"crossref","unstructured":"Perkins C, Royer E (1999) Ad hoc on demand distance vector routing. In: Proceedings of second IEEE Workshop on mobile computing systems and applications (WMCSA 99), pp 90\u2013100","DOI":"10.1109\/MCSA.1999.749281"},{"key":"646_CR38","doi-asserted-by":"crossref","unstructured":"Perkins C, Belding-Royer E, Das S (2003) Ad hoc on demand distance vector routing. IETF RFC 3561","DOI":"10.17487\/rfc3561"},{"key":"646_CR39","doi-asserted-by":"crossref","unstructured":"Chang CC, Lin CJ (2011) LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol 2(3):27:1\u201327:27. http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm","DOI":"10.1145\/1961189.1961199"},{"key":"646_CR40","unstructured":"(2010) Ns-2 (network simulator version 2.34). http:\/\/www.isi.edu\/nsnam\/ns\/ns-documentation"},{"key":"646_CR41","unstructured":"Bache K, Lichman M (2013) Uci machine learning repository. University of California, Irvine, School of Information and Computer Sciences. http:\/\/archive.ics.uci.edu\/ml"}],"container-title":["Pattern Analysis and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-017-0646-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10044-017-0646-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-017-0646-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,26]],"date-time":"2024-06-26T11:22:43Z","timestamp":1719400963000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10044-017-0646-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,20]]},"references-count":41,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,5]]}},"alternative-id":["646"],"URL":"https:\/\/doi.org\/10.1007\/s10044-017-0646-3","relation":{},"ISSN":["1433-7541","1433-755X"],"issn-type":[{"value":"1433-7541","type":"print"},{"value":"1433-755X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,8,20]]},"assertion":[{"value":"29 January 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 August 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 August 2017","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}