Research on Reduction Algorithm Based on Variable Precision Rough Set

In view of the traditional data mining processing noise data 's problems, this paper focuses on the theory of rough set extension model of variable precision rough set theory attribute reduction is studied, This paper introduces the rough set theory in data mining application theory and basic principles, Compared and analyses the two kind of variable precision rough set model reduction algorithm, that beta - approximation reduction algorithm and beta - distribution reduction algorithm, The combination of these two algorithms, an improved algorithm is proposed, And through the experiments proved the validity of the new algorithm..