Reject inference in credit scoring using Semi-supervised Support Vector Machines

被引：81
|
作者：
Li, Zhiyong [1 ,5 ]
Tian, Ye [2 ,5 ]
Li, Me [3 ]
Zhou, Fanyin [3 ]
Yang, Wei [4 ,5 ]
机构：
[1] Southwestern Univ Finance & Econ, Sch Finance, Chengdu, Sichuan, Peoples R China
[2] Southwestern Univ Finance & Econ, Sch Business Adm, Chengdu, Sichuan, Peoples R China
[3] Southwestern Univ Finance & Econ, Sch Stat, Ctr Stat Res, Chengdu, Sichuan, Peoples R China
[4] Southwestern Univ Finance & Econ, Sch Insurance, Chengdu 611130, Sichuan, Peoples R China
[5] Southwestern Univ Finance & Econ, Collaborat Innovat Ctr Financial Secur, Chengdu, Sichuan, Peoples R China
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2017年 / 74卷
基金：
中国国家自然科学基金;
关键词：
Reject inference; Credit scoring; Semi-supervised Support Vector Machines; Online lending; Predictive accuracy; SAMPLE SELECTION BIAS; MODEL; AUGMENTATION; PERFORMANCE; IMPROVE;
D O I：
10.1016/j.eswa.2017.01.011
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
[No abstract available]
引用
收藏
页码：105 / 114
页数：10
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