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Michael W. Berry
Editor
Survey of Text Mining
Clustering, Classification, and Retrieval
Scanned by Velocity
With 57 Illustrations
Springer
Michael W. Berry
Department puter Science
University of Tennessee
203 plex
Knoxville, TN 37996-3450, USA
******@
Cover illustration: Visualization of three major clusters in the . Times news database
when document vectors are projected into the 3-D subspace spanned by the three most
relevant axes determined using COV rescale. This figure appears on p. 118 of the text.
Library of Congress Cataloging-in-Publication Data
Survey of text mining : clustering, classification, and retrieval / editor, Michael W. Berry.
p. cm.
Includes bibliographical references and index.
ISBN 0-387-95563-1 (alk. Paper)
1. Data mining—Congresses. 2. Cluster analysis—Congresses. 3. Discriminant
analysis—Congresses. I. Berry, Michael W.
2003
—dc21 2003042434
ISBN 0-387-95563-1 Printed on acid-free paper.
© 2004 Springer-Verlag New York, Inc.
All rights reserved. This work may not be translated or copied in whole or in part without the
written permission of the publisher (Springer-Verlag New York, Inc., 175 Fifth Avenue, New York,
NY 10010, 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 known or hereafter developed is forbidden.
The use in this publication of trade names, trademarks, service marks, and similar terms, even if
they are not identified as such, is not to be taken as an expression of opinion as to whether or not
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Preface xi
Contributors