基于数据网格进行知识关联规则挖掘方法研究

摘要：数据网格是在计算网格的基础上发展起来的网格技术，具有资源共享、协同工作、虚拟组织以及对分布式数据库群进行处理和分析的特点，在知识发现领域具有重要的研究价值。因此，本文提出了一种基于数据网格进行知识关联规则挖掘的方法。该方法采用数据网格树对动态数据网格进行全局控制和管理，采用挖掘作业命令的形式触发域挖掘作业，采用素数存储的方法进行了关联规则挖掘。通过仿真实验表明该挖掘方法在数据库群和数据网格关联规则挖掘方面具有优势。

research on data mining method based on data grid carrying on association rules

Data grid is a network technology based on the computing grid,having the resource sharing,being in conjunction with the work,the conjecture organizing and other characteristics.The paper shows a method which can mine the data using knowledge connection based on data grid.The method can control and manage the dynamic data grid overall situation ground ,can trigger the data mining by order,can scoop out data using association rules by prime number saving.The test shows that the data mining method has the advantage on the database clusters and data mining using data grid by association rules.