Machine Learning and Knowledge Discovery in Databases European C
This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011. The 121 revised
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LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany
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Dimitrios Gunopulos Thomas Hofmann Donato Malerba Michalis Vazirgiannis (Eds.)
Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2011 Athens, Greece, September 5-9, 2011 Proceedings, Part III
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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 Dimitrios Gunopulos University of Athens, Greece E-mail: [email protected] Thomas Hofmann Google Switzerland GmbH, Zurich, Switzerland E-mail: [email protected] Donato Malerba University of Bari “Aldo Moro”, Bari, Italy E-mail: [email protected] Michalis Vazirgiannis Athens University of Economics and Business, Greece E-mail: [email protected]
ISSN 0302-9743 e-ISSN 1611-3349 ISBN 978-3-642-23807-9 e-ISBN 978-3-642-23808-6 DOI 10.1007/978-3-642-23808-6 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: Applied for CR Subject Classification (1998): I.2, H.2.8, H.2, H.3, G.3, J.1, I.7, F.2.2, F.4.1 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)
Welcome to ECML PKDD 2011
Welcome to the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2011) held in Athens, Greece, during September 5–9, 2011. ECML PKDD is an annual conference that provides an international forum for the discussion of the latest highquality research results in all areas related to machine learning and knowledge discovery in databases as well as other innovative application domains. Over the years it has evolved as one of the largest and most selective international conferences in machine learning and data mining, the only one that provides a common forum for these two closely related fields. ECML PKDD 2011 included all the scientific events an
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