On the Extension of the Dependency of Attributes in Rough Set Theory for Classification Problem in Data Mining

摘要

We consider the problem of the dependency of attributes in rough set theory. We study the lower approximation of set and the dependency of attributes in rough set theory and propose a new lower approximation and a new measure of dependency of attributes based on association rules for the purpose of improving the speed of the classification problem in data mining.