Data Mining: Multimedia, Soft Computing, and Bioinformatics / Edition 1

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This is an introduction to the data mining technologies with emphasis on soft computing. Most data mining techniques so far have concentrated on flat-file applications. This new project includes the wide range of available data types, such as images, sound, and graphics. It starts with existing data mining methods, discusses different soft computing tools such as fuzzy sets, artificial neural networks, genetic algorithms, rough sets, and their hybridizations, and moves on to classification, clustering, and rule generation. It also includes state-of-the-art soft computing approaches and a chapter on bioinformatics.

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Editorial Reviews

From the Publisher
"…an excellent primer on the subject of data mining with anaccessible introduction to the fundamental and advanced data miningtechnologies." (Journal of Electronic Imaging, January-March2006)

"Applied statisticians and probabilists will like this book verymuch." (Journal of Statistical Computation and Simulation,November 2005)

"…the book is an impressive and broad overview...a generalroadmap of what methods are available and where to look."(Journal of Intelligent & Fuzzy Systems, Vol. 16, No. 2,2005)

"This readable survey describes multimedia, soft computing, andbioinformatics strategies for a number of data types…"(Business Horizons, September- October 2004)

"…an accessible introduction to fundamental and advanceddata mining technologies. It will be an excellent book for bothbeginners and professionals." (Computing, April20, 2004)

"Overall, this is a nice, easy-to-read book for those alreadyworking in the area of data mining." (Technometrics, August2004, Vol. 46, No. 3)

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Product Details

  • ISBN-13: 9780471460541
  • Publisher: Wiley
  • Publication date: 9/12/2003
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 424
  • Product dimensions: 6.32 (w) x 9.37 (h) x 0.99 (d)

Meet the Author

SUSHMITA MITRA, PHD, is a Professor at Machine IntelligenceUnit, Indian Statistical Institute, in Calcutta. She is a coauthorof Neuro-Fuzzy Pattern Recognition: Methods in SoftComputing, also published by Wiley.

TINKU ACHARYA, PHD, Senior Executive vice president andChief Science Officer of Avisere Inc., Tucson, Arizona, is involvedin multimedia data mining applications. He is also an adjunctprofessor in the Department of Electrical Engineering at ArizonaState University. He was recognized as the Most Prolific Inventorof Intel Corporation Worldwide in 1999.

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Table of Contents


1. Introduction to Data Mining.

2. Soft Computing.

3. Multimedia Data Compression.

4. String Matching.

5. Classification in Data Mining.

6. Clustering in Data Mining.

7. Association Rules.

8. Rule Mining with Soft Computing.

9. Multimedia Data Mining.

10. Bioinformatics: An Application.


About the Authors.

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