Similarity-margin based feature selection for symbolic interval data
Pattern Recognition Letters
A symbolic approach for text classification based on dissimilarity measure
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
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In this paper, a simple and efficient feature selection scheme for symbolic data is proposed. The proposed scheme exploits the symbolic multivalued proximity measures for feature selection. The effectiveness of the proposed scheme has been demonstrated through experiments on standard symbolic data sets.