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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
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Chapter 8
Fuzzy Rule Induction
In the preceding chapters we looked at various ways to find patterns in data
using fuzzy database queries and fuzzy clustering. Both of these techniques
provide the knowledge engineer and business analyst with a powerful set
of exploratory facilities. However, they do not generate actual models of
the underlying business process. This is the goal of rule induction. As the
term implies, rule induction creates a knowledge base of fuzzy if-then rules
describing one or more behaviors in a large collection of data. This is a
supervised knowledge discovery approach; that is, you must supply a depen-
dent or outcome variable and a wider set of independent (or working)
variables. Rule induction then finds the functional relationships ...
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Publisher Resources

ISBN: 9780080470597