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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2786

Title: Web Usage Mining by means of Multidimensional Sequence Alignment Methods
Authors: HAY, Birgit
WETS, Geert
VANHOOF, Koen
Issue Date: 2003
Publisher: SPRINGER-VERLAG BERLIN
Citation: WEBKDD 2002 - MINING WEB DATA FOR DISCOVERING USAGE PATTERNS AND PROFILES. p. 50-65
Series/Report: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2703
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.
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
URI: http://hdl.handle.net/1942/2786
ISI #: 000188172100004
ISSN: 0302-9743
Category: A1
Type: Journal Contribution
Validation: ecoom, 2005
Appears in Collections: Transportation Research Institute
Data-analysis and Modelling - Archive

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