Rough classification of patients after highly selective vagotomy for duodenal ulcer
International Journal of Man-Machine Studies
Texture analysis and discrimination in additive noise
Computer Vision, Graphics, and Image Processing
Rough set methods in feature selection and recognition
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
Fundamenta Informaticae
Reduct Generation and Classification of Gene Expression Data
ICHIT '06 Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 01
Normalized Decision Functions and Measures for Inconsistent Decision Tables Analysis
Fundamenta Informaticae
Evolutionary Rough Feature Selection in Gene Expression Data
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A bit-chain based algorithm for problem of attribute reduction
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
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In this paper we devote to study some feature selection of an information system in which redundant or insignificant attributes in data sets can be eliminated. An approach of importance gain function is suggested to evaluate the global average information gain associated with a subset of features. A heuristic algorithm on iterative criterion of feature selection on the significance of attributes is proposed to get the least reduction of attribute set in knowledge discovery. The feasibility of feature selection proposed here is validated by some of examples.