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dc.contributor.authorMahmood, AN
dc.contributor.authorLeckie, C
dc.contributor.authorUdaya, P
dc.date.available2014-05-21T22:49:07Z
dc.date.issued2008-06-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000254976900003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c
dc.identifier.citationMahmood, A. N., Leckie, C. & Udaya, P. (2008). An efficient clustering scheme to exploit hierarchical data in network traffic analysis. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 20 (6), pp.752-767. https://doi.org/10.1109/TKDE.2007.190725.
dc.identifier.issn1041-4347
dc.identifier.urihttp://hdl.handle.net/11343/29274
dc.languageEnglish
dc.publisherIEEE COMPUTER SOC
dc.subjectArtificial Intelligence and Image Processing
dc.titleAn efficient clustering scheme to exploit hierarchical data in network traffic analysis
dc.typeJournal Article
dc.identifier.doi10.1109/TKDE.2007.190725
melbourne.peerreviewPeer Reviewed
melbourne.affiliationThe University of Melbourne
melbourne.affiliation.departmentComputer Science and Software Engineering
melbourne.source.titleIEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
melbourne.source.volume20
melbourne.source.issue6
melbourne.source.pages752-767
dc.description.pagestart752
melbourne.publicationid106976
melbourne.elementsid303837
melbourne.contributor.authorLeckie, Christopher
melbourne.contributor.authorParampalli, Udaya
melbourne.contributor.authorMAHMOOD, ABDUN
melbourne.internal.ingestnoteAbstract bulk upload (2017-07-20)
dc.identifier.eissn1558-2191
melbourne.accessrightsThis item is currently not available from this repository


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