最小频繁相关模式的挖掘

频繁模式不能反映模式内部各项目之间的关联和相关关系，频繁关联模式挖掘与孥繁相关苎式兰苎已越来越受到人们的重视．按照相关模式定义，如果一个模式是相关模式，其超模式一定是相关模式,最小频繁相关模式挖掘将大大减少挖掘出来的数量，有利于用户分析．给出最小频繁相关模式挖掘算法，并在标准数据挖掘数据集蘑菇数据上测试，实验证明算法是正确有效的．

Minimal Frequent Correlated Pattern Mining

Frequent patterns cannot reflect association and/or correlation relationships between items. More and more people are interested in frequent associated pattern mining and frequent correlated pattern mining. According to the definition of a correlated pattern, if a pattern is a correlated, its super pattern must be a correlated pattern. Frequent correlated pattern mining can reduce the number of patterns produced. Therefore, the results of minimal frequent correlated pattern mining are desirable for people to analysis In this paper, we develop an algorithm for discovering all minimal frequent correlated patterns. The experimental results in mushroom data show that the techniques developed in the paper are effective and correct.