一种模糊多层关联规则挖掘算法

Data Mining Algorithm of Fuzzy Multi-layered Association Rule

针对传统数据挖掘中的"尖锐边界"问题,采用将模糊理论和关联规则挖掘技术相结合的思想,在改进传统Apriori算法的基础上,结合多层关联规则挖掘的方法,提出了一种模糊多层关联规则挖掘算法。对模糊多层关联规则挖掘的基本概念进行了定义,详细描述了模糊多层关联规则挖掘算法。最后用Visual FoxPro 6.0语言实现了该算法程序,通过交易数据库挖掘实验表明算法是有效的。

Aiming at the problem of sharp boundary in the traditional data mining, combining fuzzy theory with association rule mining technique, on the basis of improvement on the traditional Apriori algorithm, combining the method of multi-layered association rule mining, a fuzzy multi-layered association rule mining algorithm is proposed in this paper. In this paper, basic concepts of fuzzy multi-layered association rule mining are given. The fuzzy multi-layered association rule mining is described in detail. And this algorithm program is implemented with Visual Foxpro 6. 0. The algorithm is effective by transaction database mining experiment.