Data Mining
Multimedia, Soft Computing, and Bioinformatics
Published on 6. January 2005
424 pages
978-0-471-47488-3 (ISBN)
Description
* 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
Reviews / Votes
"...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 Reviews.com, 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)More details
Other editions
Additional editions
Software
10/2011
Wiley
€168.53
Shipment within 10-20 days
Book
10/2003
1st Edition
Wiley
€145.50
Shipment within 10-20 days
Persons
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.
Content
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.
