* 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
Inhoudsopgave
Preface.
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.
Index.
About the Authors.
Over de auteur
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.
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