Advances in Knowledge Discovery and Data Mining 14th Pacific-Asi

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Subseries of Lecture Notes in Computer Science

6118

Mohammed J. Zaki Jeffrey Xu Yu B. Ravindran Vikram Pudi (Eds.)

Advances in Knowledge Discovery and Data Mining 14th Pacific-Asia Conference, PAKDD 2010 Hyderabad, India, June 21-24, 2010 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 Mohammed J. Zaki Rensselaer Polytechnic Institute Troy, NY, USA E-mail: [email protected] Jeffrey Xu Yu The Chinese University of Hong Kong Hong Kong, China E-mail: [email protected] B. Ravindran IIT Madras, Chennai, India E-mail: [email protected] Vikram Pudi IIIT, Hyderabad, India E-mail: [email protected]

Library of Congress Control Number: 2010928262 CR Subject Classification (1998): I.2, H.3, H.4, H.2.8, I.4, C.2 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13

0302-9743 3-642-13656-7 Springer Berlin Heidelberg New York 978-3-642-13656-6 Springer Berlin Heidelberg New York

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. springer.com © Springer-Verlag Berlin Heidelberg 2010 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper 06/3180

Preface

The 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining was held in Hyderabad, India during June 21–24, 2010; this was the first time the conference was held in India. PAKDD is 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, data warehousing, machine learning, databases, statistics, knowledge acquisition and automatic scientific discovery, data visualization, causal induction and knowledge-based systems. PAKDD-2010 received 412 research papers from over 34 countries including: Australia, Austria, Belgium, Canada, China, Cuba, Egypt, Finland, France, Germany, Greece, Hong Kong, India, Iran, Italy, Japan, S. Korea, Malaysia, Mexico, The Netherlands, New Caledonia, New Zealand, San Marino, Singapore, Slovenia, Spain, Switzerland, Taiwan, Thailand, Tunisia, Turkey, UK, USA, and Vietnam. This clearly reflects the truly international stature of the PAKDD conference. Aft