Using fuzzy dependency-guided attribute grouping in feature selection

Authors:
Richard Jensen;Qiang Shen
Affiliations:
Centre for Intelligent Systems and their Applications, School of Informatics, The University of Edinburgh;Centre for Intelligent Systems and their Applications, School of Informatics, The University of Edinburgh
Venue:
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Year:
2003

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Abstract

Feature selection has become a vital step in many machine learning techniques due to their inability to handle high dimensional descriptions of input features. This paper demonstrates the applicability of fuzzy-rough attribute reduction and fuzzy dependencies to the problem of learning classifiers, resulting in simpler rules with little loss in classification accuracy.