Advances in Web Mining and Web Usage Analysis 8th International
This book contains the postworkshop proceedings with selected revised papers from the 8th international workshop on knowledge discovery from the Web, WEBKDD 2006. The WEBKDD workshop series has taken place as part of the ACM SIGKDD International Conferenc
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Subseries of Lecture Notes in Computer Science
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Olfa Nasraoui Myra Spiliopoulou Jaideep Srivastava Bamshad Mobasher Brij Masand (Eds.)
Advances in Web Mining and Web Usage Analysis 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006 Philadelphia, PA, USA, August 20, 2006 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 University of Louisville Louisville, KY 40292, USA E-mail: [email protected] Myra Spiliopoulou Otto-von-Guericke-Universität Magdeburg 39106 Magdeburg, Germany E-mail: [email protected] Jaideep Srivastava University of Minnesota Minneapolis, MN 55455, USA E-mail: [email protected] Bamshad Mobasher DePaul University Chicago, IL 60604, USA E-mail: [email protected] Brij Masand Data Miners Inc. Boston, MA 02114, USA E-mail: [email protected] Library of Congress Control Number: 2007941802 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 3-540-77484-X Springer Berlin Heidelberg New York 978-3-540-77484-6 Springer Berlin Heidelberg New York
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Preface
This book contains the postworkshop proceedings with selected revised papers from the 8th international workshop on knowledge discovery from the Web, WEBKDD 2006. The WEBKDD workshop series has taken 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 few years, the interest for the Web as a medium for communication, interactio
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