Machine learning techniques for anti-money laundering (AML) solutions in suspicious transaction detection: a review

Volume: 57, Issue: 2, Pages: 245 - 285
Published: Feb 10, 2018
Abstract
Money laundering has been affecting the global economy for many years. Large sums of money are laundered every year, posing a threat to the global economy and its security. Money laundering encompasses illegal activities that are used to make illegally acquired funds appear legal and legitimate. This paper aims to provide a comprehensive survey of machine learning algorithms and methods applied to detect suspicious transactions. In particular,...
Paper Details
Title
Machine learning techniques for anti-money laundering (AML) solutions in suspicious transaction detection: a review
Published Date
Feb 10, 2018
Volume
57
Issue
2
Pages
245 - 285
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