February 2005
Beginner to intermediate
540 pages
14h 9m
English
Content preview from Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
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Further Reading
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63
maintainable models. From this chapter you should come away with an
understanding of the following.
■
Basic statistical approaches to modeling structured numeric data
■
Mathematical, clustering, and categorization methods of modeling-
related data patterns
■
The use and limitations of regression analysis in discovering and
interpreting trends
■
The nature of knowledge-based approaches to models, such as neural
networks and fuzzy systems
■
How to approach the modeling of general nonlinear growth (time-
series) systems
■
How fuzzy logic is used to explore databases and other data reposito-
ries
■
The nature of rule induction (data mining) in the evolution of dynamic
fuzzy models
A more comprehensive and exhaustive analysis of modeling techniques ...
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