分布式数据挖掘的数据背景异质性探讨

Exploring the Heterogeneity of the Background Data in Distributed Data Mining

随着计算机网络以及数据库技术的深入发展,分布式数据挖掘成为了当今的一大研究热点。然而数据分布除了存储的物理分散性,还有具有背景异质性。本文先介绍分布式数据挖掘和其面临的一些问题,然后由此引出数据背景的异质性,最后用实例研究来说明数据背景异质性对分布式数据挖掘算法的影响。

With further development of the computer notwork and database technology, data mining in the distributed computing environment becomes a hot point in the data mining. However, besides the distribution of data storage, it also refers to its background heterogeneity. This article first introduces DDM, and then loads to the theme about the heterogeneous background of data, finally uses the example to illustrate some impaction to DDM algorithms,