Utilization of artificial intelligence in the banking sector: a systematic literature review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Marketing,Finance
Link
https://link.springer.com/content/pdf/10.1057/s41264-022-00176-7.pdf
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3. Akkoç, S. 2012. An empirical comparison of conventional techniques, neural networks and the three-stage hybrid adaptive neuro fuzzy inference system (ANFIS) model for credit scoring analysis: the case of Turkish credit card data. European Journal of Operational Research 222 (1): 168–178.
4. Ala’raj, M., and M.F. Abbod. 2016. Classifiers consensus system approach for credit scoring. Knowledge-Based Systems 104: 89–105.
5. Alborzi, M., and M. Khanbabaei. 2016. Using data mining and neural networks techniques to propose a new hybrid customer behavior analysis and credit scoring model in banking services based on a developed RFM analysis method. International Journal of Business Information Systems 23 (1): 1–22.
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