Correlation-based Feature Selection for Machine Learning

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Summary

This thesis addresses the problem of feature selection for machine learning through a correlation based approach with CFS (Correlation based Feature Selection), an algorithm that couples this evaluation formula with an appropriate correlation measure and a heuristic search strategy.

Type
article
Published
2003-01-01
Cited by
4,137
References
109

Keywords

Artificial intelligence, Feature selection, Machine learning, Feature (linguistics), Computer science

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