介绍了关联规则挖掘算法的基本原理，并按照挖掘中涉及到的变量数目（维数）、数据的抽象层次和处理变量的类别（布尔型和数值型），依次对关联规则挖掘算法的研究进行综述，并对一些典型的算法进行分析和比较，最后展望了关联规则挖掘算法的研究方向。

In this paper the principle of the algorithms on association rule mining is introduced firstly, and researches of the algorithms on association rule mining are summarized in turn according to variable (dimension), abstract levels data and types of transacted variable (Boolean and Quantitative) in the process of data mining. At the same time some typical algorithms are analyzed and compared. At last, some future directions on association rule generation are viewed.