Recognition Technology of Money Laundering Transactions Based on Data Mining
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
10.12783/dtem/eced2018/23940
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