System supporting money laundering detection

【Author】 Drezewski, Rafal; Sepielak, Jan; Filipkowski, Wojciech

【Source】DIGITAL INVESTIGATION

【影响因子】2.860

【Abstract】Criminal analysis is a complex process involving information gathered from different sources, mainly of quantitative character, such as billings or bank account transactions, but also of qualitative character such as eyewitnesses' testimonies. Due to the massive nature of this information, operational or investigation activities can be vastly improved when supported by dedicated techniques and tools. The system supporting the police analyst in the process of detecting money laundering is presented in this paper. The main parts of the system are data importer and analyzing algorithms, such as transaction mining algorithm and frequent pattern mining algorithms. The results obtained with the use of these algorithms can be visualized, so that they can be easily explored by the police analyst. The transactions found can be treated as suspected operations. The frequent patterns found are mainly used to identify the roles of suspected entities. For the transaction mining algorithm a performance study is also presented. (C) 2012 Elsevier Ltd. All rights reserved.

【Keywords】Money laundering; Money transfer analysis; Clustering; Frequent patterns; Bank statement import

【发表时间】2012 JUN

【收录时间】2022-04-21

【文献类型】期刊

【主题类别】

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