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Lecture Notes in Computer Science Edited by G. Goos, J. Hartmanis, and J. van Leeuwen

2049

3

Berlin Heidelberg New York Barcelona Hong Kong London Milan Paris Tokyo

Georgios Paliouras Vangelis Karkaletsis Constantine D. Spyropoulos (Eds.)

Machine Learning and Its Applications Advanced Lectures

13

Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA J¨org Siekmann, University of Saarland, Saabr¨ucken, Germany Volume Editors Georgios Paliouras Vangelis Karkaletsis Constantine D. Spyropoulos National Centre for Scientific Research "Demokritos" Institute of Informatics and Telecommunications P.O. Box 60228, Ag. Paraskevi, 15310 Athens, Greece E-mail: {paliourg,vangelis,costass}@iit.demokritos.gr

Cataloging-in-Publication Data applied for Die Deutsche Bibliothek - CIP-Einheitsaufnahme Machine learning and its applications : advanced lectures / Georgios Paliouras ... (ed.). - Berlin ; Heidelberg ; New York ; Barcelona ; Hong Kong ; London ; Milan ; Paris ; Singapore ; Tokyo : Springer, 2001 (Lecture notes in computer science ; 2049 : Lecture notes in artificial intelligence) ISBN 3-540-42490-3

CR Subject Classification (1998): I.2, 4.3.3, H.2.8, H.5.2, J.1, F.4.1 ISBN 3-540-42490-3 Springer-Verlag 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-Verlag. Violations are liable for prosecution under the German Copyright Law. Springer-Verlag Berlin Heidelberg New York a member of BertelsmannSpringer Science+Business Media GmbH http://www.springer.de © Springer-Verlag Berlin Heidelberg 2001 Printed in Germany Typesetting: Camera-ready by author, data conversion by PTP-Berlin, Stefan Sossna Printed on acid-free paper SPIN: 10781488 06/3142 543210

Preface

In the last few years machine learning has made its way into the areas of administration, commerce, and industry, in an impressive way. Data mining is perhaps the most widely known demonstration of this phenomenon, complemented by less publicized applications of machine learning, such as adaptive systems in various industrial settings, financial prediction, medical diagnosis, and the construction of user profiles for WWW-browsers. This transfer of machine learning from the research labs to the “real world” has caused increased interest in learning techniques, dictating further effort in informing people from other disciplines about the state of the art in machine learning and its uses. The objective of this book is to provide the reader with sufficient information about the current capabilities of machine learning methods, as well as ideas about h