Advances in Knowledge Discovery and Data Mining 10th Pacific-Asi
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the area of data mining and knowledge discovery. This year marks the tenth anniversary of the successful annual series of PAKDD conferences
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Subseries of Lecture Notes in Computer Science
3918
Wee Keong Ng Masaru Kitsuregawa Jianzhong Li Kuiyu Chang (Eds.)
Advances in Knowledge Discovery and Data Mining 10th Pacific-Asia Conference, PAKDD 2006 Singapore, April 9-12, 2006 Proceedings
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Volume Editors Wee Keong Ng Nanyang Technological University, Centre for Advanced Information Systems Nanyang Avenue, N4-B3C-14, 639798, Singapore E-mail: [email protected] Masaru Kitsuregawa University of Tokyo, Institute of Industrial Science 4-6-1 Komaba, Meguro-Ku, Tokyo 153-8305, Japan E-mail: [email protected] Jianzhong Li Harbin Institute of Technology Department of Computer Science and Engineering Harbin, Heilongjiang, China E-mail: [email protected] Kuiyu Chang Nanyang Technological University, School of Computer Engineering Singapore 639798, Singapore E-mail: [email protected]
Library of Congress Control Number: 2006923003
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 3-540-33206-5 Springer Berlin Heidelberg New York 978-3-540-33206-0 Springer Berlin Heidelberg New York
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In Loving Memory of Professor Hongjun Lu (1945 – 2005)
Preface The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the area of data mining and knowledge discovery. This year marks the tenth anniversary of the successful annual series of PAKDD conferences held in the Asia Pacific region. It was with pleasure that we hosted PAKDD 2006 in Singapore again, since the inaugural PAKDD conference was held in Singapore in 1997. PAKDD 2006 continues its tradition of providing an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all aspects of KDD data mining, including data cleaning, data warehousing, data mining techniques, knowledge visualization, and data mining applications. This year, we received 501 paper submissions from 38 countries and regions in Asia, Australasia, North America and Europe, of which we accepted 67 (13.4%) papers as regular
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