E-Book Details:
Title:
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Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Publisher:
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Wiley-Interscience
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Author:
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Sushmita Mitra, Tinku Acharya
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Edition:
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1 edition (September 25, 2003)
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Format:
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PDF
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ISBN:
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0471460540
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EAN:
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978-0-471-46054-1
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No.ofPages:
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424
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ABOUT THE AUTHOR:
SUSHMITA MITRA, PHD, is
an associate 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.
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.
FEATURES:
- 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
Table of Contents:
UNIT I
UNIT I
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.
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