Data Mining: Multimedia, Soft Computing, and Bioinformatics

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John Wiley & Sons, Jan 21, 2005 - Computers - 424 pages
3 Reviews
  • First title to ever present soft computing approaches and theirapplication in data mining, along with the traditionalhard-computing approaches
  • Addresses the principles of multimedia data compressiontechniques (for image, video, text) and their role in datamining
  • Discusses principles and classical algorithms on stringmatching and their role in data mining
 

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Contents

1 Introduction to Data Mining
1
2 Soft Computing
35
3 Multimedia Data Compression
89
4 String Matching
143
5 Classification in Data Mining
181
6 Clustering in Data Mining
227
7 Association Rules
267
8 Rule Mining with Soft Computing
293
9 Multimedia Data Mining
319
An Application
365
Index
392
About the Authors
399
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About the author (2005)

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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