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ROC-tree: A novel decision tree induction algorithm based on receiver operating characteristics to classify gene expression data

dc.contributor.authorHossain, MM
dc.contributor.authorHassan, MR
dc.contributor.authorBailey, J
dc.date.available2014-05-21T22:57:53Z
dc.date.issued2008-10-01
dc.identifier.citationHossain, M. M., Hassan, M. R. & Bailey, J. (2008). ROC-tree: A novel decision tree induction algorithm based on receiver operating characteristics to classify gene expression data. SIAM Publications
dc.identifier.isbn9781605603179
dc.identifier.urihttp://hdl.handle.net/11343/29362
dc.publisherSIAM Publications
dc.sourceSIAM 2008
dc.subjectArtificial Intelligence and Image Processing
dc.titleROC-tree: A novel decision tree induction algorithm based on receiver operating characteristics to classify gene expression data
dc.typeConference Paper
melbourne.peerreviewPeer Reviewed
melbourne.affiliationThe University of Melbourne
melbourne.affiliation.departmentComputer Science and Software Engineering
melbourne.source.titleSociety for Industrial and Applied Mathematics - 8th SIAM International Conference on Data Mining 2008, Proceedings in Applied Mathematics 130
melbourne.source.volume2
melbourne.source.pages455-465
dc.research.codefor801
melbourne.publicationid104833
melbourne.elementsid302671
melbourne.contributor.authorHOSSAIN, MOHAMMAD MARUF
melbourne.contributor.authorBailey, James
melbourne.contributor.authorHASSAN, MD RAFIUL
melbourne.accessrightsThis item is currently not available from this repository


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