Growth Customer Information Mining Analysis with Association Rules in Online Financial Web Site
The information revolution and network applications bring new business opportunities to enterprises, financial sector industry characteristics determine its On-line business have much interests. The reality is that the financial sector high cost of On-line finance, the cost of settling large number invalid customer information. Growing customer should be the focus of attention by On-line finance, the application of information technology, to solve efficiencies in cost accounting effectively and identify activity for customer growth characteristics and behavior patterns by mining association rules does great help for the right On-line financial firms, while growing customer can get personalized service and monitoring. This long-term development of financial enterprises is an important protection of their interests.
On-line financial services growing customers association rules clustering algorithms information mining
Dai Zhi-min Guo Lu
School of Economics & Management, Nanchang University, Jiangxi Nanchang, 330031, China School of Eco School of Finance & Statistics, Jiangxi University of Finance & Economics, Jiangxi Nanchang, 30013,
国际会议
北京
英文
1-5
2010-06-25（万方平台首次上网日期，不代表论文的发表时间）