A Data-Driven Approach to Predict Default Risk of Loan for Online Peer-to-Peer (P2P) Lending
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7277333/7279856/07279990.pdf?arnumber=7279990
Cited by 42 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Watch your Wallet closely with online microloans: a two-stage model for delinquency and default risk management;Electronic Commerce Research;2023-11-10
2. Feature selection in P2P lending based on hybrid genetic algorithm with machine learning;International Journal of Computers and Applications;2023-10-31
3. Internet of Things and Blockchain-Based Smart Contracts: Enabling Continuous Risk Monitoring and Assessment in Peer-to-Peer Lending;Journal of Emerging Technologies in Accounting;2023-10-01
4. Throwing Good Money After Bad: Risk Mitigation Strategies in the P2P Lending Platforms;Information Systems Frontiers;2023-07-18
5. Default Prediction of Internet Finance Users Based on Imbalance-XGBoost;Tehnicki vjesnik - Technical Gazette;2023-06-15
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