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Research Article

Predicting money laundering sanctions using machine learning algorithms and artificial neural networks

References

  • Bao, Y., G. Hilary, and B. Ke 2022. “Artificial Intelligence and Fraud Detection.” In Innovative Technology at the Interface of Finance and Operations. Springer Series in Supply Chain Management, V. Babich, J. R. Birge, and G. Hilary edited by. Vol. 11. Cham: Springer. 10.1007/978-3-030-75729-8_8
  • Basel Governance. 2021. Basel AML Index | Basel Institute on Governance. Basel Institute on Governance. https://baselgovernance.org/taxonomy/term/483.
  • Breiman, L. 2001. “Random Forests.” Machine Learning 45 (1): 5–32. doi:10.1023/a:1010933404324.
  • Canhoto, A. I. 2021. “Leveraging Machine Learning in the Global Fight Against Money Laundering and Terrorism Financing: An Affordances Perspective.” Journal of Business Research 131: 441–452. doi:10.1016/j.jbusres.2020.10.012.
  • Cerulli, G. 2021. “Improving Econometric Prediction by Machine Learning.” Applied Economics Letters 28 (16): 1419–1425. doi:10.1080/13504851.2020.1820939.
  • Chen, Z., L. D. Van Khoa, E. N. Teoh, A. Nazir, E. K. Karuppiah, and K. S. Lam. 2018. “Machine Learning Techniques for Anti-Money Laundering (AML) Solutions in Suspicious Transaction Detection: A Review.” Knowledge and Information Systems 57 (2): 245–285. doi:10.1007/s10115-017-1144-z.
  • Clark, T., and M. McCracken. 2013. “Advances in Forecast Evaluation.” Handbook of Economic Forecasting 2: 1107–1201.
  • Diebold, F. X. 2015. “Comparing Predictive Accuracy, Twenty Years Later: A Personal Perspective on the Use and Abuse of Diebold–Mariano Tests.” Journal of Business & Economic Statistics 33 (1): 1–1. doi:10.1080/07350015.2014.983236.
  • Diebold, F. X., and R. S. Mariano. 2002. “Comparing Predictive Accuracy.” Journal of Business & Economic Statistics 20 (1): 134–144. doi:10.1198/073500102753410444.
  • Ferwerda, J., I. S. Deleanu, B. Unger, and K.K.R. Choo. 2019. “Strategies to Avoid Blacklisting: The Case of Statistics on Money Laundering.” PLoS One 14 (6): e0218532. doi:10.1371/journal.pone.0218532.
  • Governance, B. (2021). Basel AML Index | Basel Institute on Governance. Basel Institute on Governance. https://baselgovernance.org/taxonomy/term/483, accessed November 4th,
  • Jullum, M., A. Løland, R. B. Huseby, G. Ånonsen, and J. Lorentzen. 2020. “Detecting Money Laundering Transactions with Machine Learning.” Journal of Money Laundering Control 23 (1): 173–186. doi:10.1108/JMLC-07-2019-0055.
  • King, C., C. Walker, and J. Gurulé, edited by. 2018. The Palgrave Handbook of Criminal and Terrorism Financing Law 1–1247. Cham: Palgrave Macmillan.
  • Lokanan, M. E. 2019. “Data Mining for Statistical Analysis of Money Laundering Transactions.” Journal of Money Laundering Control 22 (4): 753–763. doi:10.1108/JMLC-03-2019-0024.
  • Lokanan, M. E. 2022. “Predicting Money Laundering Using Machine Learning and Artificial Neural Networks Algorithms in Banks.” Journal of Applied Security Research 1–25. doi:10.1080/19361610.2022.2114744.
  • Shou, M., X. Bao, and J. Yu. 2021. “An Optimal Weighted Machine Learning Model for Detecting Financial Fraud.” Applied Economics Letters 30 (4): 1–6. doi:10.1080/13504851.2021.1989367.
  • Zhang, Y., and P. Trubey. 2019. “Machine Learning and Sampling Scheme: An Empirical Study of Money Laundering Detection.” Computational Economics 54 (3): 1043–1063. doi:10.1007/s10614-018-9864-z.

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