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http://hdl.handle.net/1942/2786
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | HAY, Birgit | - |
dc.contributor.author | WETS, Geert | - |
dc.contributor.author | VANHOOF, Koen | - |
dc.date.accessioned | 2007-11-16T10:31:42Z | - |
dc.date.available | 2007-11-16T10:31:42Z | - |
dc.date.issued | 2003 | - |
dc.identifier.citation | WEBKDD 2002 - MINING WEB DATA FOR DISCOVERING USAGE PATTERNS AND PROFILES. p. 50-65 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://hdl.handle.net/1942/2786 | - |
dc.description.abstract | In 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.iso | en | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.relation.ispartofseries | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | - |
dc.title | Web Usage Mining by means of Multidimensional Sequence Alignment Methods | - |
dc.type | Journal Contribution | - |
local.bibliographicCitation.conferencedate | 2002 | - |
local.bibliographicCitation.conferencename | WEBKDD 2002 - MINING WEB DATA FOR DISCOVERING USAGE PATTERNS AND PROFILES | - |
dc.identifier.epage | 65 | - |
dc.identifier.spage | 50 | - |
local.format.pages | 16 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Univ 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.refereed | Refereed | - |
local.type.specified | Article | - |
local.relation.ispartofseriesnr | 2703 | - |
dc.bibliographicCitation.oldjcat | A1 | - |
dc.identifier.isi | 000188172100004 | - |
item.contributor | HAY, Birgit | - |
item.contributor | WETS, Geert | - |
item.contributor | VANHOOF, Koen | - |
item.accessRights | Closed Access | - |
item.fulltext | No Fulltext | - |
item.fullcitation | HAY, 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.validation | ecoom 2005 | - |
crisitem.journal.issn | 0302-9743 | - |
Appears in Collections: | Research publications |
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