Knowledge Discovery in Databases: PKDD 2005 9th European Conference
The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) were jointly organized this year for the ?fth time in a row, after some years of mutual independence befor
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Subseries of Lecture Notes in Computer Science
3721
Alípio Jorge Luís Torgo Pavel Brazdil Rui Camacho João Gama (Eds.)
Knowledge Discovery in Databases: PKDD 2005 9th European Conference on Principles and Practice of Knowledge Discovery in Databases Porto, Portugal, October 3-7, 2005 Proceedings
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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Alípio Jorge Luís Torgo Pavel Brazdil João Gama LIACC/FEP, University of Porto Rua de Ceuta, 118, 6°, 4050-190 Porto, Portugal E-mail: {amjorge,ltorgo,pbrazdil,jgama}@liacc.up.pt Rui Camacho LIACC/FEUP, University of Porto Rua de Ceuta, 118, 6°, 4050-190 Porto, Portugal E-mail: [email protected]
Library of Congress Control Number: 2005933047
CR Subject Classification (1998): I.2, H.2, J.1, H.3, G.3, I.7, F.4.1 ISSN ISBN-10 ISBN-13
0302-9743 3-540-29244-6 Springer Berlin Heidelberg New York 978-3-540-29244-9 Springer Berlin Heidelberg New York
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Preface The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) were jointly organized this year for the fifth time in a row, after some years of mutual independence before. After Freiburg (2001), Helsinki (2002), Cavtat (2003) and Pisa (2004), Porto received the 16th edition of ECML and the 9th PKDD in October 3–7. Having the two conferences together seems to be working well: 585 different paper submissions were received for both events, which maintains the high submission standard of last year. Of these, 335 were submitted to ECML only, 220 to PKDD only and 30 to both. Such a high volume of scientific work required a tremendous effort from Area Chairs, Program Committee members and some additional reviewers. On average, PC members had 10 papers to evaluate, and Area Chairs had 25 papers to decide upon. We managed to have 3 highly qualified independent reviews per paper (with very few exceptions) and one additional overall input from one of the Area Chairs. After the authors’ responses and the online discussions for many of the papers, we arrived at the final selection
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