一种基于多层模糊模式的频繁项集剪枝算法的优化

运用关联规则对分布式数据库进行数据挖掘是一个常见的模式，为进一步提高在分布式挖掘多层关联规则算法的效率，改善内存的使用率，再次引入模糊理论和有效支持度的概念，并充分考虑有效支持度的闽值和有效支持度的支持频度，提出了一种新的产生频繁项集算法的修改方案，在理论上对此进行了分析和论证，实验证明这种算法的优化效果是明显的、是有用的。

An Efficient Arithmetic of Pruning Frequent Set Based on Multilevel Fuzzy Mode

In order to achieve better performance of the algorithm used to discovery multi-level association rule in distributed database,and also to get a desirable using rate of RAM,the theory of fuzzy and the conception of effective support are introduced in the paper,in addition,the researchers take into consideration both the frequency and the threshold of the effective support.The researchers propose an improved algorithm and give the result of experimentation and the theoretical analysis in detail to show the desirable performance enhancement being achieved.