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Information Science Reference - Premier Reference Source Data Mining And Medical Knowledge Management Cases And Applications (Igi Global 2009).pdf

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Information Science Reference - Premier Reference Source Data Mining And Medical Knowledge Management Cases And Applications (Igi Global 2009).pdf

文档介绍

文档介绍:Data Mining and Medical
Knowledge Management:
Cases and Applications
Petr Berka
University of Economics, Prague, Czech Republic
Jan Rauch
University of Economics, Prague, Czech Republic
Djamel Abdelkader Zighed
University of Lumiere Lyon 2, France
Medical Information science reference
Hershey • New York
Director of Editorial Content: Kristin Klinger
Managing Editor: Jamie Snavely
Assistant Managing Editor: Carole Coulson
Typesetter: Sean Woznicki
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 © 2009 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 and medical knowledge management : cases and applications / Petr Berka, Jan Rauch, and Djamel Abdelkader Zighed, editors.
p. ; cm.
Includes bibliographical references and index.
Summary: "This book presents 20 case studies on applications of various modern data mining methods in several important areas of medi-
cine, covering classical data mining methods, elaborated approaches related to mining in EEG and ECG data, and methods related to mining
in ic data"--Provided b