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Fuzzy Modeling Tools for Data Mining and Knowledge Discovery (The Morgan Kaufmann Series...
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by Earl Cox
Sales Rank: 891933
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List Price: $57.95
$52.15
At Amazon
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Paperback: 530 pages
Publisher: Morgan Kaufmann; 1st edition January 2005
Language: English
ISBN-10: 0121942759
ISBN-13: 978-0121942755
Product Dimensions:
9.2 x 7.4 x 1.2 inches
Shipping Weight: 2.4 pounds
Product 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.
* 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.
Back Cover Copy
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.
Features:
* 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.
About the Author:
Earl Cox is the founder and president of Scianta Intelligence, a next-generation machine intelligence and knowledge exploration company. He is a futurist, author, management consultant, and educator dedicated to the epistemology of advanced intelligent systems, the redefinition of the machine mind, and the ways in which evolving and inter-connected virtual worlds affect the sociology of business and culture. He is a recognized expert in fuzzy logic and adaptive fuzzy systems and a pioneer in the integration of fuzzy neural systems with genetic algorithms and case-based reasoning.
Customer Reviews & Comments
4 stars for theory, but 3 stars for actual implementation details This book is a great introduction into Fuzzy Logic, Rules, Sets, and Modeling. The author doesn't assume the reader already has a Masters degree in Comp Sci or Software Eng, and gives good explanations of all the requisite knowledge needed to understand the basics of Fuzzy stuff. For this I gave the author 4 stars. But, there is very little implementation details in this book. Its mostly theory with a smattering of code here and there. That's where it falls short of invaluable. If the author has made the book a hundred or two more pages longer and went into in depth implementation details this book would have been an easy 5 stars, coving the basics all the way through real world usage and implementation. As it is, its just a good masters level text book. A good supplemental theory text to read prior to another book that shows more implementation details (which I haven't found yet).
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Fuzzy Modeling Tools for Data Mining and Knowledge Discovery (The Morgan Kaufmann Series...
List Price: $57.95
Available from Amazon
Price: $52.15
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