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Classification and Clustering for Knowledge Discovery (Studies in Computational Intelligence, 4)

Classification and Clustering for Knowledge Discovery (Studies in Computational Intelligence, 4)

Classification and Clustering for Knowledge Discovery (Studies in Computational
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Classification and Clustering for Knowledge Discovery (Studies in Computational Intelligence, 4) Hardback - 2005 - 2005th Edition

by Halgamuge, Saman K

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Springer, 2005-09-02. 2005. hardcover. New. 6.50x1.00x9.25. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Classification and Clustering for Knowledge Discovery (Studies in Computational Intelligence, 4)
  • Author Halgamuge, Saman K
  • Binding Hardback
  • Edition number 2005th
  • Edition 2005
  • Condition New
  • Pages 356
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2005-09-02
  • Features Maps
  • Bookseller's Inventory # DADAX3540260730
  • ISBN 9783540260738 / 3540260730
  • Weight 1.54 lbs (0.70 kg)
  • Dimensions 9.21 x 6.14 x 0.88 in (23.39 x 15.60 x 2.24 cm)
  • Size 6.50x1.00x9.25
  • Category Mathematics
  • Library of Congress Catalogue Number 2005926349
  • Dewey Decimal Code 006.3
  • Quantity available 1

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Reader reviews for Classification and Clustering for Knowledge Discovery (Studies in Computational Intelligence, 4)

From the rear cover

Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. In its first part the book provides a collection of recent research on distributed clustering, self organizing maps and their recent extensions. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees. Therefore this book presents a collection of important methods of supervised data analysis. "Classification and Clustering for Knowledge Discovery" also includes variety of applications of knowledge discovery in health, safety, commerce, mechatronics, sensor networks, and telecommunications.

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