介绍了关联规则挖掘的基本原理和方法,详细分析了分布式关联规则挖掘算法并给出其模型;提出一种充分考虑数据源异构性、基于相似度的的分布式数据挖掘方法。实验证明该模型提高了挖掘的准确率。
This paper introduced the basic theory and methods of association rules mining, analyzed and discussed the existing algorithms for mining distributed association rules and then put forward a new method for distributed data mining based on similarity which took well the heterogenous data source into account. Finally it realized the model. The experiment also proves the increased veracity.