VNSOptClust: a Variable Neighborhood Search Based Approach for Unsupervised Anomaly Detection

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TypeArticle
ConferenceThe Second International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences (MCO 2008), September 8-10, 2008., Metz, France
Subjectunsupervised learning; automatic partitional clustering; variable neighborhood search; unsupervised anomaly detection; partitionnement automatique; recherche à voisinage variable; détection d'anomalie non supervisée
Abstract
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LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number50406
NPARC number8914445
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Record identifiercd4f2c5e-f49d-4c89-a0ca-992a0d72edcd
Record created2009-04-22
Record modified2016-05-09
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