Human-like rule optimization for continuous domains

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Human-like rule optimization for continuous domains

When using machine learning techniques for data mining purposes one of the main requirements is that the learned rule set is represented in a comprehensible form. Simpler rules are preferred as they are expected to perform better on unseen data. At the same time the rules should be specific enough s...

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Bibliographic Details
Main Authors:	Hadzic, Fedja, Dillon, Tharam S.
Other Authors:	Ana Fred
Format:	Book Chapter
Published:	Springer 2008
Subjects:	Feature Selection Data Mining Rule Optimization
Online Access:	http://hdl.handle.net/20.500.11937/42310

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