Advances in Web Mining and Web Usage Analysis 7th International Work
Thisbookcontainsthepostworkshopproceedingsofthe7thInternationalWo- shop on Knowledge Discovery from the Web, WEBKDD 2005. The WEBKDD workshop series takes place as part of the ACM SIGKDD International Conf- ence on Knowledge Discovery and Data Mining (KDD
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Subseries of Lecture Notes in Computer Science
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Olfa Nasraoui Osmar Zaïane Myra Spiliopoulou Bamshad Mobasher Brij Masand Philip S. Yu (Eds.)
Advances in Web Mining and Web UsageAnalysis 7th International Workshop on Knowledge Discovery on the Web, WebKDD 2005 Chicago, IL, USA, August 21, 2005 Revised Papers
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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Olfa Nasraoui Speed School of Engineering, Louisville KY 40292 E-mail: [email protected] Osmar Zaïane University of Alberta, Edmonton, AB, T6G2E8, Canada E-mail: [email protected] Myra Spiliopoulou Otto-von-Guericke-University Magdeburg, Germany E-mail: [email protected] Bamshad Mobasher School of Computer Science, Chicago, IL 60604, USA E-mail: [email protected] Brij Masand Data Miners Inc., , Boston, MA 02114, USA E-mail: [email protected] Philip S. Yu IBM T. J. Inc., N.Y. 10598, USA E-mail: [email protected] Library of Congress Control Number: 2006933535 CR Subject Classification (1998): I.2, H.2.8, H.3-5, K.4, C.2 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-540-46346-1 Springer Berlin Heidelberg New York 978-3-540-46346-7 Springer Berlin Heidelberg New York
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Preface
This book contains the postworkshop proceedings of the 7th International Workshop on Knowledge Discovery from the Web, WEBKDD 2005. The WEBKDD workshop series takes place as part of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) since 1999. The discipline of data mining delivers methodologies and tools for the analysis of large data volumes and the extraction of comprehensible and non-trivial insights from them. Web mining, a much younger discipline, concentrates on the analysis of data pertinent to the Web. Web mining methods are applied on usage data and Web site content; they strive to improve our understanding of how the Web is used, to enhance usability and to promote mutual satisfaction between e-business venues and their potential customers. In the last years, the interest for the Web as medium for communicatio
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