Emerging Trends in Knowledge Discovery and Data Mining PAKDD 201
This book constitutes the thoroughly refereed proceedings of the PAKDD 2012 International Workshops: Third Workshop on Data Mining for Healthcare Management (DMHM 2012), First Workshop on Geospatial Information and Documents (GeoDoc 2012), First Workshop
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LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany
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Takashi Washio Jun Luo (Eds.)
Emerging Trends in Knowledge Discovery and Data Mining PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM Kuala Lumpur, Malaysia, May 29 – June 1, 2012 Revised Selected Papers
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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 Takashi Washio Osaka University, The Institute of Scientific and Industrial Research (ISIR) 8-1 Mihogaoka, Osaka, Ibaraki 5670047, Japan E-mail: [email protected] Jun Luo Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences 1068 Xueyuan Boulevard, Shenzhen, Guangdong 518055, China E-mail: [email protected]
ISSN 0302-9743 e-ISSN 1611-3349 ISBN 978-3-642-36777-9 e-ISBN 978-3-642-36778-6 DOI 10.1007/978-3-642-36778-6 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: 2013932132 CR Subject Classification (1998): I.2.6-7, I.2.1, H.2.8, H.3.3-5, H.4.1-3, I.4.9 LNCS Sublibrary: SL 7 – Artificial Intelligence © Springer-Verlag Berlin Heidelberg 2013 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 ist 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
Techniques of knowledge discovery and data mining (KDD) have rapidly developed along with the significant progress of computer and network technologies. In addition, the growth of industries, infrastructures, and services associated with computer networks in the Pacific Asia region have been significant in the last two decades, and these have further boosted attention on the KDD research not only in this region but all over the world. Under these circumstances, the Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is now one of the internationally representative conferences in the KDD area. Past PAKDD conferences have hosted workshops in concert with the main tracks to provide an excellent opportunity for the presen
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