摘要
为了满足中央银行各级决策者对支付清算业务进行各种分析的需要,针对中国现代化支付系统的特点,本文提出了在建立数据仓库的基础上应用数据挖掘技术,来达到对支付清算业务进行多层次、多角度分析的目的,为科学决策提供了有效的技术手段。文中讨论了支付系统的一个数据仓库模型,并应用k-means聚类分析算法在支付系统资金源数据挖掘方面作了一些探讨。
According the characters of China National Automatic Payment System, the technique of data mining applied based ondata warehouse is brought forward in this article to meet the demands of different decision- makers in analyzing payment andsettlement business in the central bank. The method in this article afforded an effectual technical way for leaders to makescientific decision by reaching different points of view to the payment and settlement business. In this paper, a model of datawarehouse about the capital source in China National Automatic Payment System was discussed as well as the K ?meansclustering algorithm applied in this model.
出处
《微型电脑应用》
2007年第6期56-58,61,共4页
Microcomputer Applications
关键词
数据仓库
支付系统
K-MEANS
聚类
Data Warehouse China National Automatic Payment System K-means Clustering