Fraud detection model & application for credit card acquiring business based on data mining technology

被引：0
|
作者：
Liu, Tiebin [1 ]
Liu, Shiping [2 ]
机构：
[1] Chinas Secur Regulatory Commiss, Being 100033, Peoples R China
[2] Chinese Acad Sci Univ, Financial Res Ctr, Beijing 100049, Peoples R China
来源：
PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL & ELECTRONICS ENGINEERING AND COMPUTER SCIENCE (ICEEECS 2016) | 2016年 / 50卷
关键词：
data mining; credit card acquiring; anti-fraud;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Large quantities of fake card transactions bring about huge risks to commercial banks' credit acquiring business, this paper uses data mining technology to build credit card acquiring fraud analysis model based on mass credit card transaction data and merchant materials, and also developed merchant fraud risk management system. The application of this system effectively reduces the frequency of fraudulent credit card transactions, and helps to minimize losses from merchant's fraud.
引用
收藏
页码：963 / 967
页数：5
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