Fuzzy modeling and genetic algorithms for data mining and exploration /
Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As you'll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating...
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
San Francisco, CA :
Elsevier/Morgan Kaufmann,
©2005.
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| Series: | Morgan Kaufmann series in data management systems.
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| Subjects: | |
| Online Access: |
Full text (Emmanuel users only) |
| Summary: | Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As you'll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating all kinds of data, and genetic algorithms and evolutionary programming techniques drawn from biology provide the most effective means for designing and tuning these systems. You don't need a background in fuzzy modeling or genetic algorithms to benefit, for this book provides it, along with detailed inst. |
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| Physical Description: | 1 online resource (xxi, 530 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780080470597 0080470599 1280961295 9781280961298 9786610961290 6610961298 |
| Language: | English. |
| Source of Description, Etc. Note: | Print version record. |