Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2786
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dc.contributor.authorHAY, Birgit-
dc.contributor.authorWETS, Geert-
dc.contributor.authorVANHOOF, Koen-
dc.date.accessioned2007-11-16T10:31:42Z-
dc.date.available2007-11-16T10:31:42Z-
dc.date.issued2003-
dc.identifier.citationWEBKDD 2002 - MINING WEB DATA FOR DISCOVERING USAGE PATTERNS AND PROFILES. p. 50-65-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/1942/2786-
dc.description.abstractIn this article, a new algorithm called Multidimensional Sequence Alignment Method (MDSAM) is illustrated for mining navigation patterns on a web site. MDSAM examines sequences composed of several information types, such as visited pages and visiting time spent on pages. Besides, MDSAM handles large databases and uses heuristics to compute a multidimensional cost based on one-dimensional optimal trajectories. Empirical results show that MDSAM identifies profiles showing visited pages, visiting time spent on pages and the order in which pages are visited on a web site.-
dc.language.isoen-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.relation.ispartofseriesLECTURE NOTES IN ARTIFICIAL INTELLIGENCE-
dc.titleWeb Usage Mining by means of Multidimensional Sequence Alignment Methods-
dc.typeJournal Contribution-
local.bibliographicCitation.conferencedate2002-
local.bibliographicCitation.conferencenameWEBKDD 2002 - MINING WEB DATA FOR DISCOVERING USAGE PATTERNS AND PROFILES-
dc.identifier.epage65-
dc.identifier.spage50-
local.format.pages16-
local.bibliographicCitation.jcatA1-
dc.description.notesUniv Limburg, Data Anal & Modeling Res Grp, B-3590 Diepenbeek, Belgium.Hay, B, Univ Limburg, Data Anal & Modeling Res Grp, Univ Campus,Gebouw D, B-3590 Diepenbeek, Belgium.birgit.hay@luc.ac.be geert.wets@luc.ac.be koen.vanhoof@luc.ac.be-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.relation.ispartofseriesnr2703-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.isi000188172100004-
item.contributorHAY, Birgit-
item.contributorWETS, Geert-
item.contributorVANHOOF, Koen-
item.accessRightsClosed Access-
item.fulltextNo Fulltext-
item.fullcitationHAY, Birgit; WETS, Geert & VANHOOF, Koen (2003) Web Usage Mining by means of Multidimensional Sequence Alignment Methods. In: WEBKDD 2002 - MINING WEB DATA FOR DISCOVERING USAGE PATTERNS AND PROFILES. p. 50-65.-
item.validationecoom 2005-
crisitem.journal.issn0302-9743-
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