Advances in Intelligent Data Analysis VIII 8th International Symposi
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Alfred Kobsa University of California, Irvine, CA, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Microsoft Research, Cambridge, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Niall M. Adams Céline Robardet Arno Siebes Jean-François Boulicaut (Eds.)
Advances in Intelligent Data Analysis VIII 8th International Symposium on Intelligent Data Analysis, IDA 2009 Lyon, France, August 31 – September 2, 2009 Proceedings
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Volume Editors Niall M. Adams Imperial College London Department of Mathematics South Kensington Campus, London SW7 2PG, UK E-mail: [email protected] Céline Robardet Jean-François Boulicaut University of Lyon, INSA Lyon, LIRIS CNRS UMR 5205 Bâtiment Blaise Pascal, F-69621 Villeurbanne, France E-mail: {celine.robardet,jean-francois.boulicaut}@insa-lyon.fr Arno Siebes University of Utrecht Department of Information and Computer Science Utrecht, The Netherlands E-mail: [email protected]
Library of Congress Control Number: 2009933040 CR Subject Classification (1998): H.3, I.5, G.3, J.1, J.3, H.3.3, I.5.3 LNCS Sublibrary: SL 3 – Information Systems and Application, incl. Internet/Web and HCI ISSN ISBN-10 ISBN-13
0302-9743 3-642-03914-6 Springer Berlin Heidelberg New York 978-3-642-03914-0 Springer Berlin Heidelberg New York
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Preface
The general theme of the Intelligent Data Analysis (IDA) Symposia is the intelligent use of computers in complex data analysis problems. The field has matured sufficiently that some re-consideration of our objectives was required in order to retain the distinctiveness of IDA. Thus, in addition to the more traditio
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