Association Rule Retrieved from Web Log Based on Rough Set Theory

With the development of Internet, data mining in Web log has been a hot spot of research work. Many data mining methods based on association rule have been proposed. In this paper, a novel association rule prediction model based on rough set theory is advanced, it can deal with no-contiguous access sequence and get explicit expression of rules without prior knowledge, the result of experiment prove that it can achieve more prediction accuracy than existing methods.