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Multicriteria methods for identifying patterns in the analysis of the flow of “dangerous financial documents”

机译:在“危险财务文件”流分析中识别模式的多准则方法

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The article outlines a concept of applying the methodology for identifying patterns used for detecting documents suggesting the execution of some criminal financial transactions. The analogies of diagnostic processes for disease classification in medicine were used in the method. The idea of the described method consists in defining model patterns of financial documents, suggesting criminal activity in the form of the financial flow and developing mathematical models of actual financial documents which shall be used for the comparisons with the patterns at a later stage of the process. The next step is to develop similarity indicators of documents to appropriate patterns, to define and develop a multicriteria detection area for the documents and to develop a method for dividing the set of monitored documents into similar document classes. The final stage is the development of multicriteria rankings that allow to organize the set of transaction documents according to the degree of similarity to the relevant patterns and to determine the optimal cut-off threshold in the ranking of documents intended for a more detailed analysis. The described method may be used in counteracting financial crimes, and in particular in combating money laundering.
机译:本文概述了一种方法的概念,该方法可用于识别用于检测表明某些刑事金融交易已执行的文档的模式。该方法使用了医学上疾病分类的诊断过程的类比。所描述方法的思想在于定义财务文件的模型模式,以财务流的形式建议犯罪活动,并开发实际财务文件的数学模型,这些模型将在以后的过程中与模型进行比较。 。下一步是将文档的相似性指标开发为适当的模式,以定义和开发文档的多标准检测区域,并开发一种将监视文档集划分为相似文档类别的方法。最后阶段是开发多标准排序,该排序允许根据与相关模式的相似程度来组织交易文档集,并确定旨在进行更详细分析的文档排名中的最佳截止阈值。所描述的方法可以用于应对金融犯罪,尤其是在打击洗钱方面。

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