Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

By: Earl Cox

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Paperback | 1 January 2005

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540 Pages

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23.5 x 19.05 x 3.18

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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.

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.

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You Can Find This Book In

Non-Fiction Computing & I.T.Databases Data Mining Computer Science Artificial Intelligence Data Capture & Analysis

Preface
Acknowledgements
Introduction
Concepts and Issues
Foundations and Ideas
Principal Model Types
Approaches to Model Building
Fuzzy Systems
Fundamental Concepts of Fuzzy Logic
Fundamental Concepts of Fuzzy Systems Chapter
FuzzySQL and Intelligent Queries
Fuzzy Clustering
Fuzzy Rule Induction
Evolutionary Strategies
Fundamental Concepts of Genetic Algorithms
Genetic Resource Scheduling Optimization
Genetic Tuning of Fuzzy Models
Table of Contents provided by Publisher. All Rights Reserved.

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

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Paperback

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