[2006] - Data Mining Theory, Methodology, Techniques, and Applications (Lecture Notes puter Science) - [Springer] - [3540325476].pdf

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 establish-
ment of a strong tradition of academic and industry scholarship, blended with
the pragmatics of practice in the field of data minin