| Issue |
E3S Web Conf.
Volume 214, 2020
2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|
|
|---|---|---|
| Article Number | 03005 | |
| Number of page(s) | 4 | |
| Section | Digital Development and Environmental Management of Energy Supply Chain | |
| DOI | https://doi.org/10.1051/e3sconf/202021403005 | |
| Published online | 07 December 2020 | |
Finance Fraud Detection With Neural Network
1 King’s own institute Sydney, Australia
2 Central South University Changsha, China
3 Efrei University Paris, France
4 WuHan university Wuhan, China
a ab2613225@gmail.com
b sianchan@163.com
c xiao.bai@efrei.net
d chendeheng611@gmail.com.
The payment card industry has grown increasingly with the development of online business. However, payment card fraud has become a serious problem around the world. Companies and banks lost huge amounts of dollars annually due to fraud. It is necessary to investigate a learning algorithm to detect fraud in finance transaction automatically. In this paper, we put forward a fraud detection algorithm by using neural network. The neural network model and final result will be described to show the superiority of this model.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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