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citations
Cited by 12 publications
(9 citation statements)
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References 7 publications
(9 reference statements)
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“…Combinar a técnica de clustering com Multilayer Perceptron (MLP) foi a proposta de Le-Khac et al (2009). O algoritmo K-means, é utilizado para formação dos clusters e esta técnica baseia-se em duas características principais (fundo de investimento e investidor) que, em seguida, são usados como entrada do processo de formação de um MLP.…”
Section: Mineração De Dadosunclassified
“…A combination of clustering and MLP (multilayer perceptron) was proposed by [12]. A simple center-based clustering technique is used to detect suspicious cases of money laundering.…”
Section: Related Workmentioning
confidence: 99%
“…However, they are not efficient for the investment market because there are many factors that influence the frequency of trades in investment banking such as political environment, market climate, fund prices, currency exchange rates, etc. [8] also give an example of the variety of transaction frequencies that exists among different investment funds.…”
Section: Transaction Monitoringmentioning
confidence: 99%
“…Most financial institutions have been implementing internal investments in anti-money laundering solutions to fight fraud activities. In this view, data mining approaches have been developed and are considered "well-suited techniques for detecting money laundering (ML) activities" (Le-Khac et al, 2009). Considering that an understanding of the principle elements of fraud is the foundation for any antifraud activity, Sadaf et al (2018) test, through cross-sectional linear regression models, the influence of governance, competitiveness and other institutional variables upon the number of accounting frauds.…”
Section: Introductionmentioning
confidence: 99%
“…In several studies, new frameworks and systems were developed for identifying money laundering transactions or accounts ( Liu et al, 2008 ; Le-Khac et al, 2009 ; Lopez-Rojas and Axelsson, 2012 ; Jun, 2006 ; Soltani et al, 2016 ). While many of these works claim a good detection performance, they often use synthetic data due to the limited availability of financial transactional data.…”
Section: Introductionmentioning
confidence: 99%