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dc.contributor.authorHossain, MM
dc.contributor.authorHassan, MR
dc.contributor.authorBailey, J
dc.date.available2014-05-21T22:57:53Z
dc.date.issued2008-01-01
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. Society for Industrial and Applied Mathematics - 8th SIAM International Conference on Data Mining 2008, Proceedings in Applied Mathematics 130, 2, pp.455-465. Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611972788.41.
dc.identifier.isbn9781605603179
dc.identifier.urihttp://hdl.handle.net/11343/29362
dc.publisherSociety for Industrial and Applied Mathematics
dc.sourceProceedings of the 2008 SIAM International Conference on Data Mining
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
dc.identifier.doi10.1137/1.9781611972788.41
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
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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