Predicting Fraud in Financial Payment Services through Optimized Hyper-Parameter-Tuned XGBoost Model
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References listed on IDEAS
- Peterson K. Ozili, 2018. "Impact of digital finance on financial inclusion and stability," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 18(4), pages 329-340, December.
- Sharmila Subudhi & Suvasini Panigrahi, 2020. "Two-Stage Automobile Insurance Fraud Detection by Using Optimized Fuzzy C-Means Clustering and Supervised Learning," International Journal of Information Security and Privacy (IJISP), IGI Global, vol. 14(3), pages 18-37, July.
- Ozili, Peterson Kitakogelu, 2018. "Impact of Digital Finance on Financial Inclusion and Stability," MPRA Paper 84771, University Library of Munich, Germany.
- K.S.Reddy, 2019. "Pot the ball? Sovereign wealth funds’ outward FDI in times of global financial market turbulence: A yield institutions-based view," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 19(4), pages 129-139.
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Cited by:
- Alexey Ruchay & Elena Feldman & Dmitriy Cherbadzhi & Alexander Sokolov, 2023. "The Imbalanced Classification of Fraudulent Bank Transactions Using Machine Learning," Mathematics, MDPI, vol. 11(13), pages 1-15, June.
- Seyed Farshid Ghorashi & Maziyar Bahri & Atousa Goodarzi, 2024. "Developing and comparing machine learning approaches for predicting insurance penetration rates based on each country," Letters in Spatial and Resource Sciences, Springer, vol. 17(1), pages 1-29, December.
- Ludivia Hernandez Aros & Luisa Ximena Bustamante Molano & Fernando Gutierrez-Portela & John Johver Moreno Hernandez & Mario Samuel Rodríguez Barrero, 2024. "Financial fraud detection through the application of machine learning techniques: a literature review," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-22, December.
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Keywords
financial payment fraud; fraud detection; machine learning; XGBoost; nature-inspired optimization; hyper-parameter tuning; accuracy;All these keywords.
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