A comparative study of data mining techniques for credit scoring in banking
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IEEE
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http://xplorestaging.ieee.org/ielx7/6621630/6642428/06642534.pdf?arnumber=6642534
Cited by 7 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. Data Mining Techniques from Social Media and Credit Card Risk Scoring Model “An Empirical Study on the Jordanian Commercial Banks”;2024 2nd International Conference on Cyber Resilience (ICCR);2024-02-26
2. Machine learning techniques for credit risk evaluation: a systematic literature review;Journal of Banking and Financial Technology;2020-04
3. Building a Credit Scoring Model Based on Data Mining Approaches;International Journal of Software Engineering and Knowledge Engineering;2020-02
4. Recent Approaches to Drift Effects in Credit Rating Models;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2020
5. A Model Augmenting Credit Risk Management in the Banking Industry;Deep Learning and Neural Networks;2020
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