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A rough set approach to selecting attributes for ordinal prediction

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3 Author(s)
J. W. T. Lee ; Dept. of Comput., Hong Kong Polytech. Univ., China ; D. S. Yeung ; E. C. C. Tsang

Rough set theory has been successfully applied in selecting attributes to improve the effectiveness in derivation of decision trees/rules for classification. When the classification involves ordinal classes, the rough set reduction process should take into consideration the ordering of the classes. In this paper we propose a new way of evaluating and finding reducts for ordinal classification.

Published in:

Machine Learning and Cybernetics, 2003 International Conference on  (Volume:3 )

Date of Conference:

2-5 Nov. 2003