APPLICATION OF MACHINE LEARNING FOR THE PREVENTION OF FINANCIAL FRAUD IN PAYMENT SYSTEMS OF UZBEKISTAN
DOI:
https://doi.org/10.60078/2026-vol5-iss2-pp210-212Annotasiya
The current stage of development of the global financial system is characterized by an active digital transformation in which artificial intelligence technologies occupy a central role. Their implementation enables the processing of large data sets, identification of hidden patterns, and automation of decisionmaking processes, significantly increasing the efficiency of financial institutions.
Bibliografik manbalar
Arner D.W., Barberis J., Buckley R.P. FinTech, RegTech and the Reconceptualization of Financial Regulation. Northwestern Journal of International Law & Business, 2017.
World Bank. Digital Financial Services. Washington, DC, 2022.
Lessmann S., Baesens B., Seow H.-V., Thomas L.C. Benchmarking state-of-the-art classification algorithms for credit scoring. European Journal of Operational Research, 2015.
Ngai E.W.T., Hu Y., Wong Y.H., Chen Y., Sun X. The application of data mining techniques in financial fraud detection. Decision Support Systems, 2011.
Anagnostopoulos I. FinTech and RegTech: Impact on regulators and banks. Journal of Economics and Business, 2018.
Sironi P. FinTech Innovation: From Robo-Advisors to Goal Based Investing and Gamification. Wiley, 2016.
Anagnostopoulos I. FinTech and RegTech: Impact on regulators and banks. Journal of Economics and Business, 2018.
Huang M.-H., Rust R.T. Artificial Intelligence in Service. Journal of Service Research, 2018.
OECD. Artificial Intelligence in Finance. Paris, 2021.
