Credit Debt Default Risk Assessment Based on the XGBoost Algorithm: An Empirical Study from China
Wireless communications and mobile computing, 2022-03, Vol.2022, p.1-14 [Peer Reviewed Journal]Copyright © 2022 Jun Wang et al. ;Copyright © 2022 Jun Wang et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1530-8669 ;EISSN: 1530-8677 ;DOI: 10.1155/2022/8005493
Full text available
|
||||
 |
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY |  |
(84-028) 37 755 057 | Feedback |
| 19 Nguyen Huu Tho St. Dist.7, HCM |  |
thuvien@tdtu.edu.vn | ||