Machine Learning and Knowledge Discovery in Databases European C
This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2009, held in Bled, Slovenia, in September 2009. The 106 papers presented in two volumes, together with 5 invit
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Subseries of Lecture Notes in Computer Science
5782
Wray Buntine Marko Grobelnik Dunja Mladeni´c John Shawe-Taylor (Eds.)
Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2009 Bled, Slovenia, September 7-11, 2009 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 Wray Buntine NICTA Locked Bag 8001, Canberra, 2601, Australia and Helsinki Institute of IT Finland E-mail: [email protected] Marko Grobelnik Dunja Mladeni´c Jožef Stefan Institute Jamova 39, 1000 Ljubljana, Slovenia E-mail: {marko.grobelnik,dunja.mladenic}@ijs.si John Shawe-Taylor University College London Gower St., London, WC1E 6BT, UK E-mail: [email protected]
Library of Congress Control Number: 2009933615
CR Subject Classification (1998): I.2, H.2.8, H.3, G.3, H.5, G.2, I.7 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-642-04173-6 Springer Berlin Heidelberg New York 978-3-642-04173-0 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 2009 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 12754656 06/3180 543210
Preface
The year 2008 was the first year that the previously separate European Conferences on Machine Learning (ECML) and the Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) were merged into a unified event. This is a natural evolution after eight consecutive years of their being collocated after the first joint conference in Freiburg in 2001. The European Conference on Machine Learning (ECML) traces its origins to 1986, when the first European Working Session on Learning was held in Orsay, France followed by the second European Working Session on Learning held in Bled, the location of this year’s ECML PKDD 2009 conference. The European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) was first held in 1997 in Trondheim, Norway. Over the years, the ECML/PKDD series has evolved into one of the largest and most selective international conferences in machine learning and data mining, the only one that provides a common forum for the two closely related fields. In 2009, ECML PKDD conference was held dur
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