1 publication

• Published Subscription Review Article 3 Jul 2024

  Money Laundering Transaction with Machine Learning

  By R. Lingeswari, S. Brindha

  Abstract: This study discusses the use of machine learning algorithms to discover firms that are prone to money laundering. The purpose of this research is to develop, describe, and test a machine learning model for determining which bank transactions should be physically scrutinized for money laundering activities. To train a supervised machine learning model, three categories of historical data are required: legitimate "normal" transactions, transactions flagged as suspicious by the bank's …

  Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 1–15 Read article →