An Algorithm of Commodities Association Rules Mining in E-Commerce Based on Rough Set

E-commerce commodities contain a large number of associated information, an algorithm on how to mine association rules based on rough set is proposed in this paper. The different feature vectors extracted from different types of commodities can be looked as a prerequisite for getting association rules. By using the knowledge reduction theory the associated commodities can be drown as a minimum set of commodities and we can get the association rules from the set. We have designed a more efficient algorithm for mining association rules and the algorithm is also described in detail by example.