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
- PDF / 29,051,848 Bytes
- 272 Pages / 439.367 x 666.135 pts Page_size
- 62 Downloads / 216 Views
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
This work is subject to copyright. AII rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm 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 SpringerVerlag. Violations are liable for prosecution under the German Copyright Law. http://www.springer.de © Springer-Verlag Berlin Heidelberg 2002 Originally published by Springer-Verlag Berlin Heidelberg New York in 2002 Softcover reprint ofthe hardcover lst edition 2002 The use of general descriptive 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.
Cover design: KiinkelLopka, Heidelberg Typesetting: Steingraeber, Heidelberg SPIN: 10986554 Printed on acid-free paper
45/3111 GF- 543 21
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
