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Classification and Clustering for Knowledge Discovery Hardback - - 2005th Edition
by Saman K. Halgamuge (Editor); Lipo Wang (Editor)
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- Hardback
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Details
- Title Classification and Clustering for Knowledge Discovery
- Author Saman K. Halgamuge (Editor); Lipo Wang (Editor)
- Binding Hardback
- Edition number 2005th
- Edition 2005
- Condition New
- Pages 356
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date pp. 374
- Features Maps
- Bookseller's Inventory # 6328753
- ISBN 9783540260738 / 3540260730
- Weight 1.54 lbs (0.70 kg)
- Dimensions 9.21 x 6.14 x 0.88 in (23.39 x 15.60 x 2.24 cm)
- Category Mathematics
- Library of Congress Catalogue Number 2005926349
- Dewey Decimal Code 006.3
- Quantity available 4
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From the rear cover
Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. In its first part the book provides a collection of recent research on distributed clustering, self organizing maps and their recent extensions. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees. Therefore this book presents a collection of important methods of supervised data analysis. "Classification and Clustering for Knowledge Discovery" also includes variety of applications of knowledge discovery in health, safety, commerce, mechatronics, sensor networks, and telecommunications.
