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Using graph partitioning to discover regions of correlated spatio-temporal change in evolving graphs

dc.contributor.authorChan, J
dc.contributor.authorBailey, J
dc.contributor.authorLeckie, C
dc.date.available2014-05-21T22:50:35Z
dc.date.issued2009-01-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000271584000006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c
dc.identifier.citationChan, J., Bailey, J. & Leckie, C. (2009). Using graph partitioning to discover regions of correlated spatio-temporal change in evolving graphs. INTELLIGENT DATA ANALYSIS, 13 (5), pp.755-793. https://doi.org/10.3233/IDA-2009-0392.
dc.identifier.issn1088-467X
dc.identifier.urihttp://hdl.handle.net/11343/29289
dc.languageEnglish
dc.publisherIOS PRESS
dc.subjectArtificial Intelligence and Image Processing
dc.titleUsing graph partitioning to discover regions of correlated spatio-temporal change in evolving graphs
dc.typeJournal Article
dc.identifier.doi10.3233/IDA-2009-0392
melbourne.peerreviewPeer Reviewed
melbourne.affiliationThe University of Melbourne
melbourne.affiliation.departmentComputer Science and Software Engineering
melbourne.source.titleINTELLIGENT DATA ANALYSIS
melbourne.source.volume13
melbourne.source.issue5
melbourne.source.pages755-793
dc.research.codefor801
dc.description.pagestart755
melbourne.publicationid132498
melbourne.elementsid314767
melbourne.contributor.authorChan, Jeffrey
melbourne.contributor.authorBailey, James
melbourne.contributor.authorLeckie, Christopher
melbourne.internal.ingestnoteAbstract bulk upload (2017-07-20)
dc.identifier.eissn1571-4128
melbourne.accessrightsThis item is currently not available from this repository


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