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dc.contributor.authorKOTAGIRI, R.en_US
dc.contributor.authorAL HAMMADY, H.en_US
dc.date.accessioned2014-05-22T04:50:54Z
dc.date.available2014-05-22T04:50:54Z
dc.date.issued2005en_US
dc.identifier.urihttp://hdl.handle.net/11343/31999
dc.descriptionSIAM International Conference on Data Mining (SDM)en_US
dc.languageengen_US
dc.publisherSociety for Industrial and Applied Mathematicsen_US
dc.subjectArtificial Intelligence and Image Processingen_US
dc.titleExpanding the Training Data Space Using Emerging Patterns and Genetic Methodsen_US
dc.typeConference Paperen_US
melbourne.peerreviewPeer Revieweden_US
melbourne.affiliationThe University of Melbourneen_US
melbourne.affiliation.departmentComputer Science and Software Engineeringen_US
melbourne.source.titleProceedings of the Fifth SIAM International Conference on Data Miningen_US
dc.research.codefor0801en_US
melbourne.publicationid44884en_US
melbourne.elementsidNA
melbourne.contributor.authorHAMMADY, HAMAD ALI JABER SALEH AL
melbourne.contributor.authorKotagiri, Ramamohanarao
melbourne.accessrightsThis item is currently not available from this repository


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