Strategic Integration Of Business Intelligence And Risk Management For Financial Institutions Using A Deep Random Forest Approach
Author:
Affiliation:
1. Business School, Koneru Lakshmaiah Education Foundation,Vaddeswaram,A.P.,522302
2. School of Management Studies, Bannari Amman Institute of Technology,Sathyamangalam
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10488912/10488915/10489317.pdf?arnumber=10489317
Reference18 articles.
1. Artificial intelligence credit risk prediction: An empirical study of analytical artificial intelligence tools for credit risk prediction in a digital era;Van Thiel,2019
2. Comparative study of support vector machines and random forests machine learning algorithms on credit operation
3. Deep learning in business analytics: A clash of expectations and reality
4. A Bolasso based consistent feature selection enabled random forest classification algorithm: An application to credit risk assessment
5. A benchmark of machine learning approaches for credit score prediction
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