Author:
Lappas P. Z.,Xanthopoulos S. Z.,Yannacopoulos A. N.
Publisher
Springer Nature Singapore
Reference101 articles.
1. Monge, M., Quesada-López, Martínez, A., & Jenkins, M. (2021). Data mining and machine learning techniques for bank customers segmentation: A systematic mapping study. In: K. Arai, S. Kapoor, & R. Bhatia (Eds.), Intelligent systems and applications: Proceedings of the 2020 intelligent systems conference (IntelliSys) Volume 2 (pp. 666–684). Springer. https://doi.org/10.1007/978-3-030-55187-2_48
2. Hong Kong Institute for Monetary and Financial Research (2020). Artificial intelligence in banking: The changing landscape in compliance and supervision. HKIMR Applied Research Report No. 2/2020.
3. Chawla, D., & Joshi, H. (2021). Segmenting mobile banking users based on the usage of mobile banking services. Global Business Review, 22(3), 68–704.
4. Bijak, K., & Thomas, L. (2012). Does segmentation always improve model performance in credit scoring? Expert Systems with Applications, 39, 2433–2442.
5. Thomas, L., Edelman, D., & Crook, J. (2002). Credit scoring and its applications. SIAM.