Mining Association Rules with Fuzzy Qantitative Constraints

In many applications of association rules mining, users are often interested in a subet of the association rules. For example, they may only want rules that contain a specific item. This kind of association rules mining is called association rules mining with item constraints. A transaction record often includes not only the items but also the quantitative information associated with these items. The quantitative information can also be treated as a sort of constraints of association rules, which can be used to mine more practical association rules. Based on the above problem, this paper presented a method called association rules mining with fuzzy quantitative constraints. The experiment result shows that this method has a good scalability.