| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 488344 | Procedia Computer Science | 2016 | 5 Pages |
Abstract
Online peer-to-peer lending is a new but useful finance method for small enterprises that is conducted on the website. To exclude the risk of this method, we make a study on predicting the potential lenders that may have a bad credit score. We use an outlier detection method to find the abnormal lenders, and we find the detected outliers have bad credit scores with a high possibility.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Haifeng Li, Yuejin Zhang, Ning Zhang, Hengyue Jia,