Author:
Naghi Laura Elly,Onufreiciuc Raluca Anica,Stanescu Lorena-Elena,Hodoș Raul Felix
Publisher
Springer International Publishing
Reference71 articles.
1. Alarab, I., Prakoonwit, S., & Nacer, M. (2020). Comparative analysis using supervised learning methods for anti-money laundering in bitcoin. In Proceedings of the 2020 5th international conference on machine learning technologies (ICMLT 2020) (pp. 11–17). Association for Computing Machinery. https://doi.org/10.1145/3409073.3409078
2. Baldini, G., et al. (2020). Cybersecurity, our digital anchor. In I. Nai Fovino et al. (Eds.), EUR 30276 EN. Publications Office of the European Union. https://doi.org/10.2760/352218
3. Bartlett, B. (2002). The negative effects of money laundering on economic development. Platypus Magazine, 77, 18–23. Retrieved from https://search.informit.org/doi/10.3316/agispt.20030578
4. BIS Innovation Hub. (n.d.). Project Aurora: Using data to combat money laundering across firms and borders. Retrieved from https://www.bis.org/about/bisih/topics/fmis/aurora.htm
5. Cacciatore, F. (2019). Patterns of networked enforcement in the European system of financial supervision: What is the new role for the national competent authorities? European Journal of Risk Regulation, 10(3), 502–521. https://doi.org/10.1017/err.2019.25
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