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dc.contributor.authorBailey, J
dc.contributor.authorLoekito, E
dc.date.available2014-05-21T22:50:00Z
dc.date.issued2010-01-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000274077500002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c
dc.identifier.citationBailey, J. & Loekito, E. (2010). Efficient incremental mining of contrast patterns in changing data. INFORMATION PROCESSING LETTERS, 110 (3), pp.88-92. https://doi.org/10.1016/j.ipl.2009.10.012.
dc.identifier.issn0020-0190
dc.identifier.urihttp://hdl.handle.net/11343/29283
dc.languageEnglish
dc.publisherELSEVIER
dc.subjectArtificial Intelligence and Image Processing
dc.titleEfficient incremental mining of contrast patterns in changing data
dc.typeJournal Article
dc.identifier.doi10.1016/j.ipl.2009.10.012
melbourne.peerreviewPeer Reviewed
melbourne.affiliationThe University of Melbourne
melbourne.affiliation.departmentComputer Science and Software Engineering
melbourne.source.titleINFORMATION PROCESSING LETTERS
melbourne.source.volume110
melbourne.source.issue3
melbourne.source.pages88-92
dc.research.codefor801
dc.description.pagestart88
melbourne.publicationid143408
melbourne.elementsid321929
melbourne.contributor.authorBailey, James
melbourne.contributor.authorLOEKITO, ELSA
melbourne.internal.ingestnoteAbstract bulk upload (2017-07-20)
dc.identifier.eissn1872-6119
melbourne.accessrightsThis item is currently not available from this repository


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