Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
Language: English
Published by Elsevier Inc Jan 2005, 2005
Series: Book 37 of 52 - The Morgan Kaufmann Series in Data Management Systems
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
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Add to basketItem description from seller
Neuware - 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. Written to provide analysts, engineers, and managers with the background and specific instruction needed to develop and implement more effective data mining systems Helps you to understand the trade-offs implicit in various models and model architectures Provides extensive coverage of fuzzy SQL querying, fuzzy clustering, and fuzzy rule induction Lays out a roadmap for exploring data, selecting model system measures, organizing adaptive feedback loops, selecting a model configuration, implementing a working model, and validating the final model In an extended example, applies evolutionary programming techniques to solve a complicated scheduling problem Presents examples in C, C++, Java, and easy-to-understand pseudo-code Extensive online component, including sample code and a complete data mining workbench.…
Seller Inventory # 9780121942755
- Title
- Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
- Author
- Earl Cox
- Publisher
- Elsevier Inc Jan 2005
- Publication year
- 2005
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0121942759
- ISBN 13
- 9780121942755
- Item weight
- 1,115 grams
- Dimensions
- 234x190x37 mm
- Series
- Book 37 of 52: The Morgan Kaufmann Series in Data Management Systems
"Synopsis" may belong to another edition of this title.
About the Author
Earl has over thirty years experience in managing and participating in the software development process at the system as well as tightly integrated application level. In the area of advanced machine intelligence technologies, Earl is a recognized expert in fuzzy logic, and adaptive fuzzy systems as they are applied to information and decision theory. He has pioneered the integration of fuzzy neural systems with genetic algorithms and case-based reasoning. As an industry observer and futurist, Earl has written and talked extensively on the philosophy of the Response to Change, the nature of Emergent Intelligence, and the Meaning of Information Entropy in Mind and Machine.
"About the title" may belong to another edition of this title.
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