基于模糊数值约束的关联规则挖掘

Mining Association Rules with Fuzzy Qantitative Constraints

很多时候一个事务记录中所包含的信息除了项目以外 ,还包括与这些项目相关的数值信息 ,这些数值信息同样可以作为关联规则的一种约束而存在 .基于上述问题 ,文中提出了一个基于模糊数值约束的关联规则挖掘方法 ,实验结果表明该方法具有较好的伸缩性 .

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.