Parallel Data Mining Technology under Grid Environment

摘要：

The traditional data mining is unable to solve the problem of distributional magnanimous data mining and the distributional system is very difficult to solve the question of heterogeneous operating systems and proposals.Under the grid environment,parallel data mining can solve heterogeneous,distributed and magnanimous data mining problem.In this paper the existing strategy and the association rule algorithm of parallel data mining is analyzed and a new association rule parallel mining plan is proposed based on the grid environment.The new strategy is based on the agent technology,multi-thread and the centralism vote technology.The experimental results in a simulated grid platform show the feasibility and the effectiveness of the new strategy.

关键词： Data mining Grid parallel RMI Agent

作者: Xiufeng Jiang Meiqing Wang

作者单位: College of Mathematics and Computer Science,Fuzhou University,Fuzhou,Fujian 350002

会议类型: 国际会议

会议名称: 2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

会议地点: 大连

会议语种:英文

页码: 132-136

在线出版日期: 2008-07-27（万方平台首次上网日期，不代表论文的发表时间）