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Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
book

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

by Earl Cox
February 2005
Beginner to intermediate
540 pages
14h 9m
English
Morgan Kaufmann
Content preview from Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
Preface
xv
logic of continuous phenomena that directly handles ambiguity, uncer-
tainty, and extensibility, fuzzy logic also has a strong relationship to ideas
underlying biological systems.
Organization of the Book
Part I connects the themes in the book with various types of models
and the nature of business and public policy modeling, and surveys
various approaches to heuristic, analytical, mathematical, and statisti-
cal modeling. Part I also provides a foundation in the ideas underlying
effective model building, data exploration, and data mining (or knowl-
edge discovery). In particular, this first part couples the central ideas
of intelligent knowledge discovery, rule-based expert systems, and data
exploration with concepts related to self-monitoring ...
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Publisher Resources

ISBN: 9780080470597