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Classification and Clustering for Knowledge Discovery 2005 Edition
Contributor(s): Halgamuge, Saman K. (Editor), Wang, Lipo (Editor)
ISBN: 3540260730     ISBN-13: 9783540260738
Publisher: Springer
OUR PRICE:   $161.49  
Product Type: Hardcover - Other Formats
Published: September 2005
Qty:
Annotation: 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.
Additional Information
BISAC Categories:
- Mathematics | Applied
- Computers | Computer Graphics
- Computers | Cad-cam
Dewey: 006.3
LCCN: 2005926349
Series: Studies in Computational Intelligence
Physical Information: 0.88" H x 6.14" W x 9.21" (1.54 lbs) 356 pages