Fraud detection model & application for credit card acquiring business based on data mining technology
Tiebin Liu, Shiping Liu
Available Online December 2016.
- https://doi.org/10.2991/iceeecs-16.2016.185How to use a DOI?
- data mining; credit card acquiring; anti-fraud
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/iceeecs-16.2016.185 DO - https://doi.org/10.2991/iceeecs-16.2016.185 ID - Liu2016/12 ER -