Advances in Knowledge Discovery and Data Mining 13th Pacific-Asi
This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand, in April 2009. The 39 revised full papers and 73 revised short papers presented together with
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Subseries of Lecture Notes in Computer Science
5476
Thanaruk Theeramunkong Boonserm Kijsirikul Nick Cercone Tu-Bao Ho (Eds.)
Advances in Knowledge Discovery and Data Mining 13th Pacific-Asia Conference, PAKDD 2009 Bangkok, Thailand, April 27-30, 2009 Proceedings
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Series Editors Randy Goebel, University of Alberta, Edmonton, Canada Jörg Siekmann, University of Saarland, Saarbrücken, Germany Wolfgang Wahlster, DFKI and University of Saarland, Saarbrücken, Germany Volume Editors Thanaruk Theeramunkong Thammasat University Sirindhorn International Institute of Technology 131 Moo 5 Tiwanont Road, Bangkadi, Muang, Pathumthani 12000, Thailand E-mail: [email protected] Boonserm Kijsirikul Chulalongkorn University Faculty of Engineering, Department of Computer Engineering Bangkok 10330, Thailand E-mail: [email protected] Nick Cercone York University, Faculty of Science & Engineering 355 Lumbers Building, 4700 Keele Street, Toronto ON M3J 1P3, Canada E-mail: [email protected] Tu-Bao Ho Japan Advanced Institute of Science and Technology School of Knowledge Science 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan E-mail: [email protected] Library of Congress Control Number: Applied for CR Subject Classification (1998): I.2, H.2.8, H.3, H.5.1, G.3, J.1, K.4 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-642-01306-6 Springer Berlin Heidelberg New York 978-3-642-01306-5 Springer Berlin Heidelberg New York
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Preface
The Pacific-Asia Conference on Knowledge Discovery and Data Mining has been held every year from 1997. PAKDD 2009, the 13th in the series, was held in Bangkok, Thailand during April 27-30, 2008. PAKDD is a major international conference in the areas of data mining (DM) and knowledge discovery in database (KDD). It provides an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and automatic scientific discovery, data visualization, causal induction and knowledge-based systems. For PAKDD 2009, we received 338 research papers from various countr
