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Information Science Reference - Premier Reference Source. Data Mining Patterns. New Methods and Applications (IGI Global 2008).pdf

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Information Science Reference - Premier Reference Source. Data Mining Patterns. New Methods and Applications (IGI Global 2008).pdf

文档介绍

文档介绍:Data Mining Patterns:
New Methods and
Applications
Pascal Poncelet
Maguelonne Teisseire
Florent Masseglia
Information Science Reference
Data Mining Patterns:
New Methods and Applications
Pascal Poncelet
Ecole des Mines d’Ales, France
Maguelonne Teisseire
Université Montpellier, France
Florent Masseglia
Inria, France
Information science reference
Hershey • New York
Acquisitions Editor: Kristin Klinger
Development Editor: Kristin Roth
Senior Managing Editor: Jennifer Neidig
Managing Editor: Sara Reed
Copy Editor: Erin Meyer
Typesetter: Jeff Ash
Cover Design: Lisa Tosheff
Printed at: Yurchak Printing Inc.
Published in the United States of America by
Information Science Reference (an imprint of IGI Global)
701 E. Chocolate Avenue, Suite 200
Hershey PA 17033
Tel: 717-533-8845
Fax: 717-533-8661
E-mail: ******@igi-
Web site: .com/reference
and in the United Kingdom by
Information Science Reference (an imprint of IGI Global)
3 Henrietta Street
Covent Garden
London WC2E 8LU
Tel: 44 20 7240 0856
Fax: 44 20 7379 0609
Web site:
Copyright © 2008 by IGI Global. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by
any means, electronic or mechanical, including photocopying, without written permission from the publisher.
Product pany names used in this set are for identification purposes only. Inclusion of the names of the products panies does
not indicate a claim of ownership by IGI Global of the trademark or registered trademark.
Library of Congress Cataloging-in-Publication Data
Data mining patterns : new methods and applications / Pascal Poncelet, Florent Masseglia & Maguelonne Teisseire, editors.
p. cm.
Summary: "This book provides an overall view of recent solutions for mining, and explores new patterns,offering theoretical frameworks
and presenting challenges and possible solutions concerning pattern extractions, emphasizing research techniques

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