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

DOI

10.2991/iceeecs-16.2016.185How to use a DOI?

Keywords

data mining; credit card acquiring; anti-fraud

Abstract

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.

Copyright

© 2016, 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  - Tiebin Liu
AU  - Shiping Liu
PY  - 2016/12
DA  - 2016/12
TI  - Fraud detection model & application for credit card acquiring business based on data mining technology
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 963
EP  - 967
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.185
DO  - 10.2991/iceeecs-16.2016.185
ID  - Liu2016/12
ER  -