| Issue |
MATEC Web Conf.
Volume 189, 2018
2018 2nd International Conference on Material Engineering and Advanced Manufacturing Technology (MEAMT 2018)
|
|
|---|---|---|
| Article Number | 06004 | |
| Number of page(s) | 6 | |
| Section | Factory Manufacturing | |
| DOI | https://doi.org/10.1051/matecconf/201818906004 | |
| Published online | 10 August 2018 | |
Detection of fraudulent users in P2P financial market
HC Research, HC Financial Service Group, China
* Corresponding author: haow85@live.com
Financial fraud detection is one of the core technological assets of Fintech companies. It saves tens of millions of money from Chinese Fintech companies since the bad loan rate is more than 10%. HC Financial Service Group is the 3rd largest company in the Chinese P2P financial market. In this paper we illustrate how we tackle the fraud detection problem at HC Financial. We utilize two powerful workhorses in the machine learning field - random forest and gradient boosting decision tree to detect fraudulent users. We demonstrate that by carefully select features and tune model parameters, we could effectively filter out fraudulent users in the P2P market.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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