An Approach for Data Filtering Based on Rough Set Theory

Authors:
Xuri Yin;Zhi-Hua Zhou;Ning Li;Shifu Chen
Affiliations:
-;-;-;-
Venue:
WAIM '01 Proceedings of the Second International Conference on Advances in Web-Age Information Management
Year:
2001

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Abstract

Rough set theory is an important tool to deal with uncertain or vague knowledge. In this paper, the Rough set theory is deeply investigated, and an approach for data filtering based on rough set theory is proposed. The important feature of this approach is that the internal dependency structure of the system is kept intact, and that no additional parameters are needed. Theoretical analysis and experimental results show this approach can effectively reduce granularity of attribute measurement and improve the statistical signification of rules.