Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration |
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| Author:
| Cox, Earl |
| Series title: | The Morgan Kaufmann Series in Data Management Systems Ser. |
| ISBN: | 978-0-12-194275-5 |
| Publication Date: | Feb 2005 |
| Publisher: | Elsevier Science & Technology
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| Imprint: | Morgan Kaufmann |
| Book Format: | Paperback |
| List Price: | USD $73.95 |
Book Description:
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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.
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More Description
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 instruction in methods that you can immediately put to work in your own projects. The author provides many diverse examples and also an extended example in which evolutionary strategies are used to create a complex scheduling system.