Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

Author:   Earl Cox (Scianta Intelligence, LLC, Chapel Hill, NC)
Publisher:   Elsevier Science & Technology
ISBN:  

9780121942755


Pages:   540
Publication Date:   24 February 2005
Format:   Paperback
Availability:   In Print   Availability explained
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Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration


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Author:   Earl Cox (Scianta Intelligence, LLC, Chapel Hill, NC)
Publisher:   Elsevier Science & Technology
Imprint:   Morgan Kaufmann Publishers In
Dimensions:   Width: 18.40cm , Height: 2.80cm , Length: 25.90cm
Weight:   1.110kg
ISBN:  

9780121942755


ISBN 10:   0121942759
Pages:   540
Publication Date:   24 February 2005
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Preface Acknowledgements Introduction PART ONE – CONCEPTS AND ISSUES Chapter 1. Foundations and Ideas Chapter 2. Principal Model Types Chapter 3. Approaches to Model Building PART TWO – FUZZY SYSTEMS Chapter 4. Fundamental Concepts of Fuzzy Logic Chapter 5. Fundamental Concepts of Fuzzy Systems Chapter 6. FuzzySQL and Intelligent Queries Chapter 7. Fuzzy Clustering Chapter 8. Fuzzy Rule Induction PART THREE – EVOLUTIONARY STRATEGIES Chapter 9. Fundamental Concepts of Genetic Algorithms Chapter 10. Genetic Resource Scheduling Optimization Chapter 11. Genetic Tuning of Fuzzy Models

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Author Information

Earl founded and serves as President of, Scianta Intelligence, a next generation machine intelligence and knowledge exploration company. He is a futurist, author, management consultant, and educator involved in discovering the epistemology of advanced intelligent systems, the redefinition of the machine mind, and, as a pioneer of Internet-based technologies, the way in which evolving inter-connected virtual worlds will affect the sociology of business and culture in the near and far future.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.

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