大数据时代下的信贷风险预警系统研究  

A Study On Credit Risk pre-warning System In The Age Of Big Data

作　　者：陈惠娟[1] 加云岗[1] 

机构地区：[1]西安工程大学计算机科学学院,陕西西安710048

出　　处：《软件》2018年第1期39-44,共6页Software

基　　金：陕西省教育厅2017年专项科学研究计划项目(17JK0336)

摘　　要：随着大数据技术的不断发展完善,大数据在各个行业的应用也越来越广泛。为了建立360度的风险评估体系,实现对信贷风险的全方位评估,使信贷单位及时作出应对措施。通过运用hortonworks大数据平台技术,在信贷风险预警系统中,将内部数据和外部数据有机的结合在一起,完善风险指标,满足信贷风险全方位的评估要求。With the development and improvement of the big data technologies, it has been more and more widely and frequently used in varies industries. In order to establishes an all-round risk assessment system as well as opti-mizes the risk quota. in the meanwhile, it realizes the all aspects evaluation towards credit risk, so that the credit in-stitutions will be able to make the proper response immediately. Through the use of hortonworks big data platform technology, In the credit risk warning system, which combines the inner data and outer data organically, Improve the risk indicators to complete the range of credit risk assessment requirements.

关 键 词：大数据 信贷风险 hortonworks 预警 

分 类 号：F832.4[经济管理—金融学]