Advanced Data Mining and Applications 7th International Conference,

The two-volume set LNAI 7120 and LNAI 7121 constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011. The 35 revised full papers and 29 short pape

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LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany

7120

Jie Tang Irwin King Ling Chen Jianyong Wang (Eds.)

Advanced Data Mining and Applications 7th International Conference, ADMA 2011 Beijing, China, December 17-19, 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 Jie Tang Jianyong Wang Tsinghua University Department of Computer Science and Technology Beijing, 100084, China E-mail: {jietang, jianyong}@tsinghua.edu.cn Irwin King The Chinese University of Hong Kong Department of Computer Science and Engineering Hong Kong, SAR, China E-mail: [email protected] Ling Chen University of Technology Faculty of Engineering and Information Technology Sydney, NSW 2007, Australia E-mail: [email protected]

ISSN 0302-9743 e-ISSN 1611-3349 ISBN 978-3-642-25852-7 e-ISBN 978-3-642-25853-4 DOI 10.1007/978-3-642-25853-4 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: Applied for CR Subject Classification (1998): I.2, H.3, H.4, H.2.8, J.1, F.1, I.4 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

The continuous growth of digital technologies leads to not only the availability of massive amounts of data, but also the emergence of new types of data with novel characteristics. It poses new challenges for the data-mining research community to develop sophisticated data-mining algorithms as well as successful data-mining applications. For the purpose of promoting the original research in advanced data mining and applications, bringing together the experts on data mining throughout the world, and providing a leading international forum to exchange research ideas and results in emergent data-mining problems, the 7th International Conference on Advanced Data Mining and Applicat