Study on Data Enriching Algorithm Based on Rough Set in E-commerce

Data enriching theories of commercial information are studied. The data enriching algorithm is defined: the optimization discernibility set is acquired by improving discernibility matrix first, and then the algorithm is called recursively by using frequency information of attribute, finally the enriching attribute set is found out. The algorithm is applied to data enriching of user access patterns in e-commerce, the theoretic analysis and simulation instance shows that this algorithm is feasible and effective in practice.