This book introduces soft computing methods that extend the envelope of problems that data mining can efficiently solve. It presents practical soft-computing approaches in data mining, including various real-world case studies with detailed results and featuring illustrations of such applications as manufacturing, medical, banking, insurance and others.


Soft Computing for Knowledge Discovery and Data Mining was written to provide investigators in the fields of information systems, engineering, computer science, statistics and management with a profound source for the role of soft computing in data mining. Practitioners and researchers may be particularly interested in the description of real world data mining projects performed with soft computing. The book is also suitable for advanced-level students in computer science.