Soft Maximal Association Rule for web user mining

Abstract

Association rule mining of the web user transaction is one of important techniques for extracting information from web data, including its content, link, and user information using data mining tool. This technique finds a pattern and causal relation between items on given databases. The Maximal Association Rule is a data mining tools to determine the association rule the rough set theory based. Accordingly, the rough set can be defined in a form of soft set. This paper presents an implementation of Soft Maximal Association Rule which is the soft set theory based for web mining. The experiment shows that the computation of the proposed technique outperforms comparing to the baseline technique.