1 / 426
文档名称:

2008 - O. Maimon & L. Rokach - Soft Computing For Knowledge Discovery And Data Mining (Springer).pdf

格式:pdf   页数:426
下载后只包含 1 个 PDF 格式的文档,没有任何的图纸或源代码,查看文件列表

如果您已付费下载过本站文档,您可以点这里二次下载

2008 - O. Maimon & L. Rokach - Soft Computing For Knowledge Discovery And Data Mining (Springer).pdf

上传人:kuo08091 2014/4/3 文件大小:0 KB

下载得到文件列表

2008 - O. Maimon & L. Rokach - Soft Computing For Knowledge Discovery And Data Mining (Springer).pdf

文档介绍

文档介绍:puting for
Knowledge Discovery and
Data Mining
edited by
Oded Maimon
Tel-Aviv University
Israel

and

Lior Rokach
Ben-Gurion University of the Negev
Israel
Oded Maimon Lior Rokach
Tel Aviv University Ben-Gurion University
Industrial Engineering Dept. of Information System Engineering
69978 TEL-AVIV 84105 BEER-SHEVA
ISRAEL ISRAEL
******@ ******@
Library of Congress Control Number: 2007934794

puting for Knowledge Discovery and Data Mining
Edited by Oded Maimon and Lior Rokach

ISBN 978-0-387-69934-9 e-ISBN 978-0-387-69935-6

Printed on acid-free paper.

© 2008 Springer Science+Business Media, LLC.
All rights reserved. This work may not be translated or copied in whole or in part
without the written permission of the publisher (Springer Science+Business Media,
LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in
connection with reviews or scholarly analysis. Use in connection with any form of
information storage and retrieval, electronic adaptation, computer software, or by
similar or dissimilar methodology now know or hereafter developed is forbidden.
The use in this publication of trade names, trademarks, service marks and similar
terms, even if the are not identified as such, is not to be taken as an expression of
opinion as to whether or not they are subject to proprietary rights.
9 8 7 6 5 4 3 2 1

To my family
– .
To my wife Ronit, and my two boys, Yarden and Roy
– .
Preface
The information age has made it easy to store large amounts of data. Data
mining is a new and exciting field that tries to solve the crisis of information
overload by exploring large plex bodies of data in order to discover
useful patterns. It is extreme importance because it enables modeling and
knowledge extraction from abundance data availability. Therefore theoreti-
cians and practitioners are continually seeking techniques to