Research on credit card anti-fraud based on data mining

Authors

  • Haolun Zhang

DOI:

https://doi.org/10.62051/tbfsd224

Keywords:

Credit card anti-fraud; Data mining; Data analysis; Logistic regression

Abstract

The research topic of this paper is the field of credit card anti-fraud, using the European credit card data of the past two days in September 2018 for research, describing the data distribution through exploratory data analysis, data normalization, and finally using logistic regression for anti-fraud identification prediction.

Downloads

Download data is not yet available.

References

[1] Zhao Dawei. Research on Internet Consumer Finance driven by Big Data technology [J]. Finance and Economics, 2019:41-45.

[2] Zhuang Xudong. Library Catalog [J]. Information Forum, 2019:29-32.

[3] Yang Ying, ZHAO Shouxiang. Library Catalog [J]. Research on Credit Card Anti-fraud System under Internet Environment, 2019:50-52.

[4] Liu Jiawei. Reconstruction of credit risk control system by financial technology [J]. Financial Technology, 2018:74-75.

[5] Lu Sixing. Library Catalog [M]. Intelligence Leads Anti-fraud dual sword building miracle, 2019:38-39.

Downloads

Published

17-10-2024

How to Cite

Zhang, H. (2024) “Research on credit card anti-fraud based on data mining”, Transactions on Computer Science and Intelligent Systems Research, 6, pp. 352–389. doi:10.62051/tbfsd224.