BANKLAR FAOLIYATINI MODELLASHTIRISHNING XORIJIY TAJRIBASI VA UNI AMALIYOTDA QО‘LLASH ASOSLARI

Abedin, M.Z., et al. (2023) ‘Modelling bank customer behaviour using feature engineering and classification techniques.’ Research in International Business and Finance, 65, April.

AppliedMath (2025) AppliedMath, 5(1), 20. https://doi.org/10.3390/appliedmath501002

Biomed. Inform. (2011) Journal of Biomedical Informatics, 44(4), pp. 529–535.

Bundesbank (2025) ‘Introduction to mathematical models for banking supervisors.’ 31.03.2025–02.04.2025. Available at: https://www.bundesbank.de/en/bundesbank /international-central-bank-dialogue/international-central-banking-courses-/introduction-to-mathematical-models-for-banking-supervisors-940756

Chandra, B. and Gupta, M. (n.d.) ‘An efficient statistical feature selection approach for classification of gene expression data.’

Fahim, S., Mourad, H. and Lahby, M. (n.d.) ‘Modeling and mathematical analysis of liquidity risk contagion in the banking system using an optimal control approach.’ Higher Normal School, University Hassan II, Casablanca.

Hall, M.A. (2000) ‘Correlation-based feature selection of discrete and numeric class.’ University of Waikato, Department of Computer Science.

Han, J., Pei, J. and Kamber, M. (2011) Data Mining: Concepts and Techniques. Elsevier.

Khilenko, V. (2021) ‘Modeling the control effects of the banking system on the functioning of the economy.’ 57, pp. 396–402.

Liu, Y., Yang, M., et al. (2022) ‘Applying machine learning algorithms to predict default probability in the online credit market: Evidence from China.’ International Review of Financial Analysis, 79, 101971.

Potekhina, V., Isupova, R. and Veshkina, F. (2021) ‘Mathematical modeling as a tool for improving the financial and economic activities of the bank.’ Social’naya politika i sociologiya, 20(2), pp. 50–59.

Tan, P.N., Steinbach, M. and Kumar, V. (2016) Introduction to Data Mining. Pearson Education India.

Urbanowicz, R.J., et al., (2018) ‘Relief-based feature selection: Introduction and review.’ Journal of Biomedical Informatics, 85, pp. 189–203.