Using social network analysis to prevent money laundering
نویسندگان
چکیده
منابع مشابه
Clustering Algorithms for Anti-Money Laundering Using Graph Theory and Social Network Analysis
HEMOLIA (a project under European community’s 7th framework programme) is a new generation Anti-Money Laundering (AML) intelligent multi-agent alert and investigation system which in addition to the traditional financial data makes extensive use of modern society’s huge telecom data source, thereby opening up a new dimension of capabilities to all Money Laundering fighters (FIUs, LEAs) and Fina...
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Although the word of “Money Laundering” isn’t very old in world literature, but attempted money laundering has a long history a long side with trade and commerce, as it always has been told. Money laundering is a process that the incomes of criminal acts enter to the economic cycle and will purify Dirty income. Therefore, we can say launderers are actually committed two offenses, primarily crim...
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ژورنال
عنوان ژورنال: Expert Systems with Applications
سال: 2017
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2016.09.029