摘要
将数据挖掘技术引入某企业的ERP系统开发中,结合数据仓库和OLAP技术,设计并实现了一个将家纺企业ERP系统与数据仓库和OLAP技术集成的数据挖掘系统,同时充分利用ERP系统中所积累的数据,通过数据挖掘技术挖掘出该家纺企业潜在的最佳的供应链合作伙伴,从而提高了合作伙伴的选择效率,为企业提供了决策支持.在数据挖掘引擎部分采用了基于最近邻动态聚类的RBF学习算法及其改进算法,实验结果表明,后者比前者具有更好的分类效果,精确度更高且误差更小.
A data mining system is introduced to Jinda ERP, which combines the ERP system, data house and OLAP in order to make full use of the data accumulated in the ERP system. It can mine potential and optimist SCM partnership, improve the efficiency of selecting partner, thus the company will benefit in decision making. In the data mining engine, there are two algorithms used, RBF algorithm based on nearest neighbor clustering and its improved algorithm. The test results show that the latter classifies things more exactly and has smaller error.
出处
《陕西科技大学学报（自然科学版）》
2007年第1期121-126,共6页
Journal of Shaanxi University of Science & Technology
