改进Apriori挖掘算法的网格实现

科学和工商业应用需要分析分布在各异构站点的海量数据。传统的关联规则挖掘算法探讨的对象基本上都是集中式的数据集，对分布式的动态数据库群无能为力，因而迫切需要对分布式数据挖掘算法进行研究探讨。在研究OGSA面向服务的体系结构基础上，将网格技术与数据挖掘技术有机地结合在一起，提出了一种基于网格的分布式关联规则挖掘方法。是改进Apriori挖掘算法在网格环境下的具体应用。仿真实验表明方法具备网格的并行挖掘特性，能够成功实现位于多个异构站点E的分布式数据挖掘，且挖掘速度和运算效率较之集中式Apriori挖掘算法有较大幅度的提高。

Grid Implementation of the Improved Apriori Mining Algorithm

Scientific and industrial applications require analysis of the distribution sites in the heterogeneous mass of data.The traditional association rule mining algorithms to explore the targets are basically centralized data sets,and can do nothing to the group's distributed dynamic database.So it is urgent to carry out research to explore distributed data mining algorithms.After the service-oriented architecture of OGSA is studied,the paper combines the Grid and data mining technology organically,and then prop...