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
[ "石勇(1956-),男,中国科学院大学经济管理学院教授、博士生导师,发展中国家科学院院士,国务院参事,中国科学院虚拟经济与数据科学研究中心主任,中国科学院大数据挖掘与知识管理重点实验室主任。被列为Elsevier发布2014/2015中国高被引学者榜单之一、入选汤普生路透(Thomson Reuters)2016全球高被引作者(计算机科学领域)。现在担任《国际信息技术和决策杂志(IJITDM)》《国际数据科学年鉴(Annals of Data Science)》创立主编。先后荣获以集合论创始人命名的康拓学术奖、中国复旦管理学杰出贡献奖、教育部自然科学奖一等奖(2012年、2016年)。中国科学院百人计划学者、国家杰出青年科学基金获得者。" ]
[ "孟凡(1989-),男,中国科学院大学经济与管理学院、中国科学院大数据挖掘与知识管理重点实验室博士生,主要研究方向为大数据信用评分、量化投资、大数据图像挖掘、弱标签学习问题等。" ]
网络首发:2017-01,
纸质出版:2017-01-20
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石勇, 孟凡. 信用评分基本理论及其应用[J]. 大数据, 2017,3(1):2017003.
Yong SHI, Fan MENG. Credit scoring:basic theory and applications[J]. Big data research, 2017, 3(1): 2017003.
石勇, 孟凡. 信用评分基本理论及其应用[J]. 大数据, 2017,3(1):2017003. DOI: 10.11959/j.issn.2096-0271.2017003.
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.
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。
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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KOU G , LIU X , PENG Y , et al . Multiple criteria linear programming approach to data mining:models,algorithm designs and software development [J ] . Optimization Methods and Software , 2003 , 18 ( 4 ): 453 - 473 .
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SHI Y , PENG Y , XU W , et al . Data mining via multiple criteria linear programming:applications in credit card portfolio management [J ] . International Journal of Information Technology & Decision Making , 2002 , 1 ( 1 ): 131 - 151 .
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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