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Multimedia Data Mining: A Systematic Introduction to Concepts and Theory

Multimedia Data Mining: A Systematic Introduction to Concepts and Theory

Multimedia Data Mining: A Systematic Introduction to Concepts and Theory
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Multimedia Data Mining: A Systematic Introduction to Concepts and Theory Hardback - 2008 - 1st Edition

by Zhang, Zhongfei; Zhang, Ruofei

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CRC Press, 2008. Hardcover. Very Good. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.Dust jacket quality is not guaranteed.
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Details

  • Title Multimedia Data Mining: A Systematic Introduction to Concepts and Theory
  • Author Zhang, Zhongfei; Zhang, Ruofei
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Condition Used - Very good
  • Pages 320
  • Volumes 1
  • Language ENG
  • Publisher CRC Press
  • Publication date 2008
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # G1584889667I4N00
  • ISBN 9781584889663 / 1584889667
  • Weight 1.25 lbs (0.57 kg)
  • Dimensions 9.3 x 6.1 x 0.9 in (23.62 x 15.49 x 2.29 cm)
  • Themes
    • Aspects (Academic): Applied/Practical
  • Category Computers - General Information
  • Library of Congress subjects Data mining, Multimedia systems
  • Library of Congress Catalogue Number 2008039398
  • Dewey Decimal Code 006.7
  • Quantity available 1

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Reader reviews for Multimedia Data Mining: A Systematic Introduction to Concepts and Theory

From the publisher

Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines multimedia data mining, its theory, and its applications. Two of the most active researchers in multimedia data mining explore how this young area has rapidly developed in recent years.

The book first discusses the theoretical foundations of multimedia data mining, presenting commonly used feature representation, knowledge representation, statistical learning, and soft computing techniques. It then provides application examples that showcase the great potential of multimedia data mining technologies. In this part, the authors show how to develop a semantic repository training method and a concept discovery method in an imagery database. They demonstrate how knowledge discovery helps achieve the goal of imagery annotation. The authors also describe an effective solution to large-scale video search, along with an application of audio data classification and categorization.

This novel, self-contained book examines how the merging of multimedia and data mining research can promote the understanding and advance the development of knowledge discovery in multimedia data.

Media reviews

Citations

  • Choice, 03/01/2010, Page 0
  • Scitech Book News, 06/01/2009, Page 17
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