Data Mining: Multimedia, Soft Computing, and Bioinformatics

Front Cover
John Wiley & Sons, Jan 21, 2005 - Computers - 424 pages
3 Reviews
  • First title to ever present soft computing approaches and their application in data mining, along with the traditional hard-computing approaches
  • Addresses the principles of multimedia data compression techniques (for image, video, text) and their role in data mining
  • Discusses principles and classical algorithms on string matching and their role in data mining
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

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
Copyright

Other editions - View all

Common terms and phrases

References to this book

All Book Search results »

About the author (2005)

SUSHMITA MITRA, PHD, is a Professor at Machine Intelligence Unit, Indian Statistical Institute, in Calcutta. She is a coauthor of Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing, also published by Wiley.

TINKU ACHARYA, PHD, Senior Executive vice president and Chief Science Officer of Avisere Inc., Tucson, Arizona, is involved in multimedia data mining applications. He is also an adjunct professor in the Department of Electrical Engineering at Arizona State University. He was recognized as the Most Prolific Inventor of Intel Corporation Worldwide in 1999.

Bibliographic information