Privacy and Security Issues in Data Mining and Machine Learning
This book constitutes the refereed proceedings of the International ECML/PKDD Workshop on Privacy and Security Issues in Data Mining and Machine Learning, PSDML 2010, held in Barcelona, Spain, in September 2010. The 11 revised full papers presented were c
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Subseries of Lecture Notes in Computer Science
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Christos Dimitrakakis Aris Gkoulalas-Divanis Aikaterini Mitrokotsa Vassilios S. Verykios Yücel Saygin (Eds.)
Privacy and Security Issues in Data Mining and Machine Learning International ECML/PKDD Workshop, PSDML 2010 Barcelona, Spain, September 24, 2010 Revised Selected Papers
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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 Christos Dimitrakakis Johann Wolfgang Goethe University, Frankfurt, Germany E-mail: [email protected] Aris Gkoulalas-Divanis IBM Research – Zurich, Rüschlikon, Switzerland E-mail: [email protected] Aikaterini Mitrokotsa Ecole Polytechnice Fédérale de Lausanne, Switzerland E-mail: [email protected] Vassilios S. Verykios University of Thessaly, Volos, Greece E-mail: [email protected] Yücel Saygin Sabanci University, Tuzla, Istanbul, Turkey E-mail: [email protected]
ISSN 0302-9743 e-ISSN 1611-3349 e-ISBN 978-3-642-19896-0 ISBN 978-3-642-19895-3 DOI 10.1007/978-3-642-19896-0 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: 2011923363 CR Subject Classification (1998): I.2, H.2.8, K.6.5, K.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)
Preface
This volume contains the papers presented at PSDML 2010: ECML/PKDD Workshop on Privacy and Security issues in Data Mining and Machine Learning held on September 24, 2010 in Barcelona, Spain. The purpose of the workshop was to bring together researchers from different areas of data mining and machine learning, with an interest in privacy and security, to discuss recent results and open problems and to enable future collaborations. We received 21 submissions, each of which received at least 2, and on average 3.6, reviews. We wish to thank the reviewers for their excellent feedback to t
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