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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 | Source: | WEBKDD 2002 - MINING WEB DATA FOR DISCOVERING USAGE PATTERNS AND PROFILES. p. 50-65 | Series/Report: | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | Series/Report no.: | 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 | Document URI: | http://hdl.handle.net/1942/2786 | ISSN: | 0302-9743 | ISI #: | 000188172100004 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2005 |
Appears in Collections: | Research publications |
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