Machine Learning and Knowledge Discovery in Databases European C
This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised res
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Hendrik Blockeel Kristian Kersting Siegfried Nijssen Filip Železný (Eds.)
Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2013 Prague, Czech Republic, September 2013 Proceedings, Part I
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Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science LNAI Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany
8188
Hendrik Blockeel Kristian Kersting Siegfried Nijssen Filip Železný (Eds.)
Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2013 Prague, Czech Republic, September 23-27, 2013 Proceedings, Part I
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Volume Editors Hendrik Blockeel KU Leuven, Department of Computer Science Celestijnenlaan 200A, 3001 Leuven, Belgium E-mail: [email protected] Kristian Kersting University of Bonn, Fraunhofer IAIS, Department of Knowledge Discovery Schloss Birlinghoven, 53754 Sankt Augustin, Germany E-mail: [email protected] Siegfried Nijssen Universiteit Leiden, LIACS, Niels Bohrweg 1, 2333 CA Leiden, The Netherlands and KU Leuven, Department of Computer Science, 3001 Leuven, Belgium E-mail: [email protected] Filip Železný Czech Technical University, Department of Computer Science and Engineering Technicka 2, 16627 Prague 6, Czech Republic E-mail: [email protected] Cover image: © eleephotography ISSN 0302-9743 e-ISSN 1611-3349 e-ISBN 978-3-642-40988-2 ISBN 978-3-642-40987-5 DOI 10.1007/978-3-642-40988-2 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2013948101 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 LNCS Sublibrary: SL 7 – Artificial Intelligence © Springer-Verlag Berlin Heidelberg 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright La
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