Research on the Behavior Analysis and Prediction of Credit Card Fraud

DOI

10.2991/assehr.k.200316.319How to use a DOI?

Keywords

credit card fraud, behavior analysis, risk determination, prediction research

Abstract

With the development of economic globalization and the improvement of information technology, the new consumption mode of credit card overdraft is gradually applied in China, and there is a tendency of expanded scope of use. While development and challenges coexist, the problem of credit card fraud is increasingly exposed. This kind of fraud greatly hinders the development of national financial system, brings new problems to the risk control of commercial banks, and seriously affects the normal operation of market economy. Therefore, it is urgent to analyze and solve the problem. Based on this, this paper first explains the current situation of credit card use in China, explains the meaning of credit card fraud, then analyzes the motivation, influencing factors and identification consequences of fraud, and then establishes a monitoring and identification model of credit card fraud based on data mining algorithm and machine learning technology.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Can Wang
PY  - 2020
DA  - 2020/03/19
TI  - Research on the Behavior Analysis and Prediction of Credit Card Fraud
BT  - Proceedings of the 4th International Conference on Culture, Education and Economic Development of Modern Society (ICCESE 2020)
PB  - Atlantis Press
SP  - 1493
EP  - 1497
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200316.319
DO  - 10.2991/assehr.k.200316.319
ID  - Wang2020
ER  -