Guijuan Song

Work place: Department of Computer Science and Technology Dalian Neusoft Institute of Information Dalian, China

E-mail: songguijuan@neusoft.edu.cn

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Author Articles
Research on Feature Selection Algorithm in Rough Set Based on Information Entropy

By Guijuan Song

DOI: https://doi.org/10.5815/ijeme.2011.01.02, Pub. Date: 29 Jul. 2011

Rough set theory is an effective approach to imprecision, vagueness, and incompleteness in classification analysis and knowledge discovery .Attribute reduction is a key problem for rough set theory. While computing reduction according to the definitions is a typical NP problem. In this paper, basic concept of rough set theory is presented, one heuristic algorithm for attribution reduction based on conditional entropy is proposed. The actual application shows that the method is feasible and effective.

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