Machine Learning and Knowledge Discovery in Databases European C
This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers p
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LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany
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Peter A. Flach Tijl De Bie Nello Cristianini (Eds.)
Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2012 Bristol, UK, September 24-28, 2012 Proceedings, Part II
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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 Peter A. Flach Tijl De Bie Nello Cristianini University of Bristol Intelligent Systems Laboratory Merchant Venturers Building Woodland Road Bristol BS8 1UB, UK E-mails: [email protected] [email protected] [email protected] © Cover illustration by www.zedphoto.com
ISSN 0302-9743 e-ISSN 1611-3349 e-ISBN 978-3-642-33486-3 ISBN 978-3-642-33485-6 DOI 10.1007/978-3-642-33486-3 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: Applied for CR Subject Classification (1998): I.2.6, H.2.8, I.5.2, G.2.2, G.3, I.2.4, I.2.7, H.3.4-5, I.2.9, F.2.2 LNCS Sublibrary: SL 7 – Artificial Intelligence
© Springer-Verlag Berlin Heidelberg 2012 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
These proceedings contain the technical papers presented at the 2012 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2012), held in Bristol, UK, during the week of 24–28 September 2012. ECML-PKDD is a highly successful and selective international conference series, which was first organised in its present form in 2001 in Freiburg, Germany, when it joined together the hitherto separate ECML and PKDD conferences. Since then, the two strands of machine learning and data mining have been increasingly integrated in the joint conference, and today it is well-known as the only top-tier international conference that exploits the synergy between these two exciting fields. It is therefore particularly pleasing that the achiev
