Recognition Technology of Money Laundering Transactions Based on Data Mining

Lei WU

Abstract


Data mining is a common tool for monitoring anti-money laundering transactions. In recent years, classification analysis techniques and cluster analysis techniques in data mining are widely used in anti-money laundering system. The article lists several of their common methods, points out their strengths and weaknesses, and introduces the applicable conditions of each method.

Keywords


Money laundering transaction; Activities recognizing; Data mining


DOI
10.12783/dtem/eced2018/23940

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