Predicting Money Laundering Using Machine Learning and Artificial Neural Networks Algorithms in Banks-Reference-Cited by-同舟云学术

Predicting Money Laundering Using Machine Learning and Artificial Neural Networks Algorithms in Banks

Published:2022-08-26 Issue: Volume: Page:1-25
ISSN:1936-1610
Container-title:Journal of Applied Security Research
language:en
Short-container-title:Journal of Applied Security Research

Author:

Lokanan Mark E.¹

Affiliation:

1. Faculty of Management, Royal Roads University, Victoria, Canada

Publisher

Informa UK Limited

Subject

Law,Safety Research,Safety, Risk, Reliability and Quality,Education

Link

https://www.tandfonline.com/doi/pdf/10.1080/19361610.2022.2114744

Reference46 articles.

1. Financial crime, corruption and tax evasion: a cross-country investigation

2. Cash payment anomalies and money laundering: An econometric analysis of Italian municipalities

3. Ardizzi, G., Petraglia, C., Piacenza, M., Schneider, F. & Turati, G. (2012). Estimating money laundering through a “cash deposit demand” approach. In XXIV Conferenza Società italiana di economia pubblica: Economia informale, evasione fiscale e corruzzione. Pavia, IT. https://d1wqtxts1xzle7.cloudfront.net/30936678/201222-with-cover-page-v2.pdf?

4. Money Laundering as a Crime in the Financial Sector: A New Approach to Quantitative Assessment, with an Application to Italy

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