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Chapman & Hall/CRC
Data Mining and Knowledge Discovery Series
Understanding
Complex Datasets
Data Mining with
Matrix Decompositions
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
FoRTHCoMiNG TiTleS
CompUtational metHods oF FeatUre seleCtion
Huan liu and Hiroshi Motoda
mUltimedia data mining: a systematic introduction to Concepts and theory
Zhongfei Zhang and Ruofei Zhang
Constrained ClUstering: advances in algorithms, theory, and applications
Sugato basu, ian Davidson, and Kiri Wagstaff
text mining: theory, applications, and Visualization
Ashok Srivastava and Mehran Sahami
Chapman & Hall/CRC
Data Mining and Knowledge Discovery Series
Understanding
Complex Datasets
Data Mining with
Matrix Decompositions
David Skillicorn
Chapman & Hall/CRC
Taylor & Francis Group
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Boca Raton, FL 33487‑2742
© 2007 by Taylor & Francis Group, LLC
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Library of Congress Cataloging‑in‑Publication Data
Skillicorn, David B.
Understanding complex datasets : data mining with matrix decompositions /
David Skillicorn.
p. cm. ‑‑ (Data mining and knowledge discovery series)
Includes bibliographical references and index.
ISBN 978‑1‑58488‑832‑1 (alk. paper)
1. Data mining. 2. Data structures (Computer science) 3. Computer
algorithms. I. Title. II. Series.
QA76.9.D343S62 2007
005.74‑‑dc22
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2007013096
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