文档介绍：Lecture Notes in Artificial Intelligence 3755
Edited by J. G. Carbonell and J. Siekmann
Subseries of Lecture Notes puter Science
Graham J. Williams Simeon J. Simoff (Eds.)
Data Mining
Theory, Methodology, Techniques,
and Applications
13
Series Editors
Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA
Jörg Siekmann, University of Saarland, Saarbrücken, Germany
Volume Editors
Graham J. Williams
Togaware Data Mining
Canberra, Australia
E-mail: @
Simeon J. Simoff
University of Technology, Faculty of Information Technology
Sydney Broadway PO Box 123, NSW 2007, Australia
E-mail: ******@
Library of Congress Control Number: 2006920576
CR Subject Classification (1998): , , -3, ,
LNCS Sublibrary: SL 7 – Artificial Intelligence
ISSN 0302-9743
ISBN-10 3-540-32547-6 Springer Berlin Heidelberg New York
ISBN-13 978-3-540-32547-5 Springer Berlin Heidelberg New York
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Preface
Data mining has been an area of considerable research and application in
Australia and the region for many years. This has resulted in the