Fraud detection in automobile insurance claims: A statistical review

被引：0
|
作者：
Liu, Xi [1 ]
Yang, Jian-Bo [1 ]
Xu, Dong-Ling [1 ]
机构：
[1] Univ Manchester, Alliance Manchester Business Sch, Manchester, Lancs, England
来源：
DEVELOPMENTS OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN COMPUTATION AND ROBOTICS | 2020年 / 12卷
关键词：
Automobile Insurance Fraud Detection; Data mining applications; Review; SELECTION; MODEL;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Automobile insurance fraud detection has become critically important for reducing the costs of insurance companies. This survey paper categorises, compares, and summarises from almost all published data mining-based technical and review articles in automated automobile insurance fraud detection. Compared to all related reviews on fraud detection, this survey not only puts a focus on the automobile-related only hence more subject-oriented but also lists relevant data processing techniques and publicly available real data to perform experiments on.
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页码：1003 / 1012
页数：10
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