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Multimedia Data Mining
A Systematic Introduction
to Concepts and Theory
© 2009 by Taylor & Francis Group, LLC
Chapman & Hall/CRC
Data Mining and Knowledge Discovery Series
SERIES EDITOR
Vipin Kumar
University of Minnesota
Department of Computer Science and Engineering
Minneapolis, Minnesota, U.S.A
AIMS AND SCOPE
This series aims to capture new developments and applications in data mining and knowledge
discovery, while summarizing the computational tools and techniques useful in data analysis. This
series encourages the integration of mathematical, statistical, and computational methods and
techniques through the publication of a broad range of textbooks, reference works, and hand-
books. The inclusion of concrete examples and applications is highly encouraged. The scope of the
series includes, but is not limited to, titles in the areas of data mining and knowledge discovery
methods and applications, modeling, algorithms, theory and foundations, data and knowledge
visualization, data mining systems and tools, and privacy and security issues.
PUBLISHED TITLES
UNDERSTANDING COMPLEX DATASETS: Data Mining with Matrix
Decompositions
David Skillicorn
COMPUTATIONAL METHODS OF FEATURE SELECTION
Huan Liu and Hiroshi Motoda
CONSTRAINED CLUSTERING: Advances in Algorithms, Theory,
and Applications
Sugato Basu, Ian Davidson, and Kiri L. Wagsta
KNOWLEDGE DISCOVERY FOR COUNTERTERRORISM AND
LAW ENFORCEMENT
David Skillicorn
MULTIMEDIA DATA MINING: A Systematic Introduction to Concepts and Theory
Zhongfei Zhang and Ruofei Zhang
© 2009 by Taylor & Francis Group, LLC
Chapman & Hall/CRC
Data Mining and Knowledge Discovery Series
Multimedia Data Mining
A Systematic Introduction
to Concepts and Theory
Zhongfei Zhang
Ruofei Zhang
© 2009 by Taylor & Francis Group, LLC
The cover images were provided by Yu He, who also participated in the design of the cover page.
Chapman & Hall/CRC
Taylor & Francis Group
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Boca Raton, FL 33487-2742
© 2009 by Taylor & Francis Group, LLC
Chapman & Hall/CRC is an imprint of Taylor & Francis Group, an Informa business
No claim to original U.S. Government works
Printed in the United States of America on acid-free paper
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International Standard Book Number-13: 978-1-58488-966-3 (Hardcover)
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efforts have been made to publish reliable data and information, but the author and publisher can-
not assume responsibility for the validity of all materials or the consequences of their use. The
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Library of Congress Cataloging-in-Publication Data
Zhang, Zhongfei.
Multimedia data mining : a systematic introduction to concepts and theory /
Zhongfei Zhang, Ruofei Zhang.
p. cm. -- (Chapman & Hall/CRC data mining and knowledge discovery
series)
Includes bibliographical references and index.
ISBN 978-1-58488-966-3 (hardcover : alk. paper)
1. Multimedia systems. 2. Data mining. I. Zhang, Ruofei. II. Title. III. Series.
QA76.575.Z53 2008
006.7--dc22
Visit the Taylor & Francis Web site at
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and the CRC Press Web site at
http://www.crcpress.com
2008039398
© 2009 by Taylor & Francis Group, LLC
To my parents, Yukun Zhang and Ming Song; my sister, Xuefei; and my
sons, Henry and Andrew
Zhongfei (Mark) Zhang
To my parents, sister, and wife for their support and tolerance
Ruofei Zhang
© 2009 by Taylor & Francis Group, LLC

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