Mining Association Rules Using Value Dependence and Pseudo Intension

Association rules are useful for determining correlations between items and have applications in marketing, financial and retail sectors. Lots of algorithms have been proposed for finding the association rules in databases. In this paper, we propose a new algorithm to find out association rules. First, attention is paid to value dependence theory. Then we study a theory called pseudo intension which is usually used in formal concept analysis (FCA). Finally, we propose an algorithm based on value dependence and pseudo intension theories to mine association rules.