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一个基于高性能机群系统的并行数据挖掘平台模型
A Platform Model of Parallel Data Mining Based on Cluster
【摘要】 基于高性能机群系统建立并行数据挖掘平台,能够有效地提高数据挖掘算法的执行效率,提高对大量数据信息的处理能力,而且可以减少系统开发、升级及维护的费用,提高系统可伸缩性。文章从机群系统的特性出发,论述了基于高性能机群系统建立并行数据挖掘平台的目标、方法和实现技术,给出了一个合理可行的平台模型。
【Abstract】 This paper presents a parallel data mining platform based on high performance cluster,which can not only improve executive efficiency of the data mining algorithms ,and enhance the capability of processing large quantity of data;but also decrease the cost of development ,upgrade and maintenance,and improve the scalability of the system.This paper proceeds from the features of cluster system,and it covers the goal,methodology and implementation technology of establishing the parallel data mining platform based on cluster system.At last we provide a reasonable and feasible platform model.
【Key words】 data mining; cluster system; parallel computing; data distribution; ZiQiang2000;
- 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2004年13期
- 【分类号】TP311.13
- 【被引频次】3
- 【下载频次】185