Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
eBook - PDF

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

  1. 540 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

Book details
Table of contents
Citations

About This Book

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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Yes, you can access Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration by Earl Cox in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Morgan Kaufmann
Year
2005
ISBN
9780080470597
Topic
Computer Science
Subtopic
Artificial Intelligence (AI) & Semantics
Index
Computer Science

Table of contents

  1. Front Cover
  2. Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
  3. Copyright Page
  4. Contents
  5. Preface
  6. Acknowledgments
  7. Introduction
  8. Part I: Concepts and Issues
  9. Part II: Fuzzy Systems
  10. Part III: Evolutionary Strategies
  11. Index