Soft computing in case based reasoning [electronic resource] / Sankar K. Pal, Tharam S. Dillon, and Daniel S. Yeung (eds.)
Soft Computing in Case Based Reasoning demonstrates how various soft computing tools can be applied to design and develop methodologies and systems with case based reasoning for real-life decision-making or recognition problems. Comprising contributions from experts from all over the world, it: - Pr...
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| Online Access: |
Full Text (via Springer) |
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| Other Authors: | , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London ; New York :
Springer,
©2001.
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| Subjects: |
| Summary: | Soft Computing in Case Based Reasoning demonstrates how various soft computing tools can be applied to design and develop methodologies and systems with case based reasoning for real-life decision-making or recognition problems. Comprising contributions from experts from all over the world, it: - Provides an introduction to CBR and soft computing, and the relevance of their integration - Evaluates the strengths and weaknesses of CBR in its current form - Presents recent developments and significant applications in domains such as data-mining, medical diagnosis, knowledge-based expert systems, banking, and forensic investigation - Addresses new information on developing intelligent systems This book will be of particular interest to graduate students and researchers in computer science, electrical engineering and information technology but it will also be of interest to researchers and practitioners in the fields of systems design, pattern recognition and data mining. |
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| Physical Description: | 1 online resource (xix, 372 pages) : illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781447106876 1447106873 |
| Source of Description, Etc. Note: | Print version record. |