Data Mining and Knowledge Discovery with Evolutionary Algorithms
This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an area of active research. In general, data mi
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Advisory Board: S. Amari G. Brassard M. Conrad K.A. De Jong C.C.A.M. Gielen T. Head L. Kari L. Landweber T. Martinetz Z. Michalewicz M.C. Mozer E. Oja G. Paun J. Reif H. Rubin A. Salomaa M. Schoenauer H.-P. Schwefel D. Whitley E. Winfree J.M. Zurada
Springer-Verlag Berlin Heidelberg GmbH
Alex A. Freitas
Data Mining and Knowledge Discovery with Evolutionary Algorithms With 74 Figures and 10 Tables
'Springer
Author Dr. Alex A. Freitas Computing Laboratory, University of Kent Canterbury CT2 7NF, UK [email protected]
Series Editors G. Rozenberg (Managing Editor) Th. Back, A.E. Eiben, J.N. Kok, H.P. Spaink Leiden Center for Natural Computing, Leiden University Niels Bohrweg 1, 2333 CA Leiden, The Netherlands [email protected]
Library of Congress Cataloging-in-Publication Data Freitas, Alex. A., 1964Data mining and knowledge discovery with evolutionary algorithms/Alex A. Freitas. p.cm.- (Natural computing series) Jncludes bibliographical references and index. ISBN 978-3-662-04923-5 (eBook) ISBN 978-3-642-07763-0 DOI 10.1007/978-3-662-04923-5 1. Data mining. 2. Database searching. 3. Computer algorithms. 1. Title. Il. Series. QA76.9.D343F722002 2002021728 006.3-dc21
ACM Computing Classification (1998): I., I.2, I.2.6
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Cover design: KiinkelLopka, Heidelberg Typesetting: Steingraeber, Heidelberg SPIN: 10986554 Printed on acid-free paper
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This book is dedicated to all the people who believe that learning is not only one of the most necessary but also one of the noblest human activities.
Preface
This book addresses the integration of two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an area of active research. In essence, data mining consists of extracting valid, comprehensible, and interesting knowledge from data. Data mining is actually an interdisciplinary field, since there are many kinds of methods that can be used to extract kn
