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dc.contributor.authorCHAN, J.en_US
dc.contributor.authorBAILEY, J.en_US
dc.contributor.authorLECKIE, C.en_US
dc.date.accessioned2014-05-22T04:50:45Z
dc.date.available2014-05-22T04:50:45Z
dc.date.issued2006en_US
dc.identifier.urihttp://hdl.handle.net/11343/31998
dc.descriptionInternational Workshop on Spatial and Spatio-temporal Data Miningen_US
dc.languageengen_US
dc.publisherIEEE Computer Societyen_US
dc.subjectArtificial Intelligence and Image Processingen_US
dc.titleDiscovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphsen_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 First International Workshop on Spatial and Spatio-temporal Data Mining, in conjunction with IEEE ICDM 2006en_US
dc.research.codefor0801en_US
melbourne.publicationid58504en_US
melbourne.elementsidNA
melbourne.contributor.authorBailey, James
melbourne.contributor.authorCHAN, JEFFREY KAI CHI
melbourne.contributor.authorLeckie, Christopher
melbourne.accessrightsThis item is currently not available from this repository


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