Credit scoring:basic theory and applications

Yong SHI; Fan MENG

doi:10.11959/j.issn.2096-0271.2017003

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Credit scoring:basic theory and applications

TOPIC:BIG DATA AND CREDIT SCORING SYSTEM | 更新时间：2024-06-03

- Credit scoring:basic theory and applications
- Big data research Vol. 3, Issue 1, Pages: 2017003(2017)
- 作者机构：
  
  1. 中国科学院大数据挖掘与知识管理重点实验室，北京 100190
  2. 中国科学院虚拟经济与数据科学研究中心，北京 100190
  3. 中国科学院大学经济与管理学院，北京 100190
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2017003
  CLC： F069
- Online First：2017-01，
  
  Published：20 January 2017
- 稿件说明：
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Yong SHI, Fan MENG. Credit scoring:basic theory and applications[J]. Big data research, 2017, 3(1): 2017003.
DOI：

Yong SHI, Fan MENG. Credit scoring:basic theory and applications[J]. Big data research, 2017, 3(1): 2017003. DOI： 10.11959/j.issn.2096-0271.2017003.

摘要

信用评分是市场交易的基础，以大数据分析与挖掘为支撑的现代信用评分系统在当今全球经济发展中起着不可估量的作用。各行业与领域的信用评分系统将成为实现我国“十三五”规划中国家大数据战略的首要目标。主要介绍了金融信用评分系统的发展、相关技术、应用案例，并对大数据信用评分的发展进行了展望。

Abstract

Credit scoring is the foundation of market transactions all over the world.Big data analysis based credit scoring plays an immeasurable role in global economics.In the 13th Five-Year Plan of China

it has been proposed as strategic developmental goal to develop and accomplish credit scoring system in all the industries and economic departments.The development of credit scoring system

the advanced techniques in credit scoring and cases of big data based on credit scoring systems were outlined.Suggestions and prospects on big data scoring systems were concluded.

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Keywords

references

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SHI Y , PENG Y , KOU G , et al . Classifying credit card accounts for business intelligence and decision making:a multiple-criteria quadratic programming approach [J ] . International Journal of Information Technology ＆ Decision Making , 2005 , 4 ( 4 ): 581 - 599 .

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