Data Mining: Multimedia, Soft Computing, and Bioinformatics

Features

• Cover Type: Hard Cover with 424 pages
• Published by: Wiley-Interscience
• Edition: 1st Edition September 25, 2003
• Written in: English
• ISBN 10 Number: 0471460540
• ISBN 13 Number: 978-0471460541
• Book Dimensions: 9.7 x 6.1 x 1 inches
• Weighs: 1.7 pounds

Product Review
"…an great primer on the subject of data mining with an accessible introduction to the fundamental and advanced data mining technologies." (Journal of Electronic Imaging, January-March 2006)

"Applied statisticians and probabilists will like this book very much." (Journal of Statistical Computation and Simulation, November 2005)

"…the book is an impressive and broad overviewa general roadmap 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, and bioinformatics strategies for a number of data types…" (Business Horizons, September- October 2004)

"…an accessible introduction to fundamental and advanced data mining technologies. It will be an great book for both beginners and professionals." (Computing Reviews.com, April 20, 2004)

"Overall, this is a nice, easy-to-read book for those already working in the area of data mining." (Technometrics, August 2004, Vol. 46, No. 3)

"Overall, this is a nice, easy-to-read book for those already working in the area of data mining." -- Technometrics, August 2004, Vol. 46, No. 3

Product Description
* 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

Reader Reviews
This book is a distinct addition to the field of data mining in its coverage of topics and ideas. The good point about this book is that it explains the central concepts in great details with the required rigour and also puts in examples to make them understandable. Its not a typical Theorem , Lemma book , but also do not shy away from the mathematical complexities. There is adequate coverage of all the standard topics and additionally there are interesting sections on Rough sets and Fuzzy sets, which are generally not available everywhere. The most important point about this book is that it gives a thorough coverage of Multimedia data and web data and biological data, which is very dificult to get in one place in any book. A researcher or anyone with adequate background in Mathematics will find this book very helpful in their research. References are also pretty much exhaustive. I would have liked to see some more coverage on datawarehouse and complexity analysis of the algorithms mentioned, also some language level implementation examples at least in some appendix to the book. Also a paperback edition is needed as the price is quite high.