挖掘集合值关系数据库的模糊关联规则

Mining Fuzzy Association Rules in Set-valued Relational Database

为了挖掘集合值关系数据库的模糊关联规则,应用竞争聚集算法将记录在数量型属性上的取值划分成若干个模糊集,接着给出集合值关系数据库上数量型属性的模糊关联规则的挖掘算法,此算法能将数量型属性模糊关联规则的挖掘问题转化为布尔属性关联规则的挖掘问题。最后通过一个实例说明挖掘算法的合理性。

For mining fuzzy association rules in set-valued relational database, the values of records in the quantitative attributes are divided into several fuzzy sets by the competitive agglomeration algorithm. Then the algorithm of mining quantitative fuzzy association rules in set-valued relational database is provided. In this algorithm, the issue of mining quantitative fuzzy association rules can be transformed into the issue of mining Boolean association rules. At last, the mining algorithm proves rationality through an example.