摘要
"供应链金融"是近年来金融机构针对供应链上下游企业提供的一种全新的金融业务,这项业务在银行方面也存在一定的风险。针对由经销商造成的还款风险,利用数据挖掘技术获得一组低还款能力经销商的特征属性。金融机构能据此识别不同还款能力的经销商,并针对不同经销商制定不同的金融政策以控制和规避金融风险。
Supply chain finance is a new financial business for the enterprises of supply chain, and there are some risks in the financial institutions. To the risk brought by dealers, a group of characteristics of the dealers whose pos- sibility of payment for bank is low can be obtained by taking use of data mining technology. The financial institutions can identify different dealers, and establish different financial policies to different dealers so that they can control and avoid the financial risk.
出处
《南昌大学学报（理科版）》
CAS
北大核心
2008年第3期278-281,共4页
Journal of Nanchang University(Natural Science)
基金
江西省教育厅科技资助项目(赣教技字[2007]118)
关键词
供应链金融
数据挖掘
风险控制
信息增益分析
特征属性
supply chain finance
data mining
risk control
information gain analysis
characteristic identification
