Advances in Knowledge Discovery and Data Mining 15th Pacific-Asi
The two-volume set LNAI 6634 and 6635 constitutes the refereed proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2011, held in Shenzhen, China in May 2011. The total of 32 revised full papers and 58 revised shor
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Subseries of Lecture Notes in Computer Science
6634
Joshua Zhexue Huang Longbing Cao Jaideep Srivastava (Eds.)
Advances in Knowledge Discovery and Data Mining 15th Pacific-Asia Conference, PAKDD 2011 Shenzhen, China, May 24-27, 2011 Proceedings, Part I
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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 Joshua Zhexue Huang Chinese Academy of Sciences Shenzhen Institutes of Advanced Technology (SIAT) Shenzhen 518055, China E-mail: [email protected] Longbing Cao University of Technology Sydney Faculty of Engineering and Information Technology Advanced Analytics Institute Center for Quantum Computation and Intelligent Systems Sydney, NSW 2007, Australia E-mail: [email protected] Jaideep Srivastava University of Minnesota Department of Computer Science and Engineering Minneapolis, MN 55455, USA E-mail: [email protected] ISSN 0302-9743 e-ISSN 1611-3349 ISBN 978-3-642-20840-9 e-ISBN 978-3-642-20841-6 DOI 10.1007/978-3-642-20841-6 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: 2011926132 CR Subject Classification (1998): I.2, H.3, H.4, H.2.8, I.4, C.2 LNCS Sublibrary: SL 7 – Artificial Intelligence © Springer-Verlag Berlin Heidelberg 2011 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
PAKDD has been recognized as a major international conference in the areas of data mining (DM) and knowledge discovery in databases (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, machine learning, artificial intelligence and pattern recognition, data warehousing and databases, statistics, knowledge engineering, behavioral sciences, visualization, and emerging areas such as social network analysis. The 15th Pacific-Asia Conference on Knowledge Discovery
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