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Erschienen in:
2014 | OriginalPaper | Buchkapitel
An Optimized Classification Approach Based on Genetic Algorithms Principle
verfasst von : Ines Bouzouita
Erschienen in: Recent Advances on Soft Computing and Data Mining
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In this paper, we address the problem of generating relevant classification rules. Within this framework we are interested in rules of the form
a
1
∧
a
2
… ∧
a
n
⇒
b
which allow us to propose a new approach based on the cover set and genetic algorithms principle. This approach allows obtaining frequent and rare rules while avoiding making a breadth search. It is an improvement of
afortiori
approach. Moreover, our proposed algorithm can extract the classifier using a clustering for the attributes which allows to minimize the processing of the classifier building.