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(2009). Gaber, M.M. Scientific Data Mining and Knowledge Discovery. Principles and Foundations.pdf

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(2009). Gaber, M.M. Scientific Data Mining and Knowledge Discovery. Principles and Foundations.pdf

文档介绍

文档介绍:Scientific Data Mining and Knowledge Discovery
“This page left intentionally blank.”
Mohamed Medhat Gaber
Editor
Scientific Data Mining and
Knowledge Discovery
Principles and Foundations
ABC
Editor
Mohamed Medhat Gaber
Caulfield School of Information Technology
Monash University
900 Dandenong Rd.
Caulfield East, VIC 3145
Australia
@
Color images of this book you can find on -3-642-02787-1
ISBN 978-3-642-02787-1 e-ISBN 978-3-642-02788-8
DOI -3-642-02788-8
Springer Heidelberg Dordrecht London New York
Library of Congress Control Number: 2009931328
puting Classification (1998): , , ,
°c Springer-Verlag Berlin Heidelberg 2010
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, 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 Springer. Violations
are liable to prosecution under the German Copyright Law.
The use of general descriptive names, registered 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: KuenkelLopka GmbH
Printed on acid-free paper
Springer is part of Springer Science+Business Media ()
This book is dedicated to:
My parents: Dr. Medhat Gaber and
Mrs. Mervat Hassan
My wife: Dr. Nesreen Hassaan
My children: Abdul-Rahman and Mariam
Contents
Introduction ........................................................................ 1
Mohamed Medhat Gaber
Part I Background
Machine Learning.................................

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