Results 161 to 170 of about 536,192 (230)
Proactive detection of anomalous behavior in Ethereum accounts using XAI-enabled ensemble stacking with Bayesian optimization. [PDF]
PeerJ Comput SciChithanuru V, Ramaiah M.
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Ownership Beneath: Transparency of Land Ownership in Times of Economic Crime. [PDF]
Oxf J Leg StudDouglas S, Layard A.
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The Relationship Between Diaper Insecurity and Safe Infant Sleep Practices: A Prospective Survey of Kansas Birthing Persons. [PDF]
Sage Open PediatrSegura A, Hervey A, Ahlers-Schmidt CR.
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Assessing the efficacy of cash incentive policies in enhancing remittance inflows: Evidence from Bangladesh. [PDF]
PLoS OneFarabi MNS, Mobin MA, Khan AN.
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Adoption of artificial intelligence and machine learning in banking systems: a qualitative survey of board of directors. [PDF]
Front Artif IntellEskandarany A.
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2021
This chapter intends to discuss in detail the complex phenomena of money laundering. This chapter presents the definition, the three stages, characteristics, the negative consequences, and recent trends in money laundering. This chapter demonstrates that money laundering is an international issue by discussing the occurrence of money laundering cases ...
Sadia Saeed +2 more
+4 more sources
This chapter intends to discuss in detail the complex phenomena of money laundering. This chapter presents the definition, the three stages, characteristics, the negative consequences, and recent trends in money laundering. This chapter demonstrates that money laundering is an international issue by discussing the occurrence of money laundering cases ...
Sadia Saeed +2 more
+4 more sources
Journal of Money Laundering Control, 2016
Abstract This chapter charts the development at European and national levels of legislation to combat the laundering of proceeds of crime, with particular reference to those provisions which require or permit the disclosure of relevant information to the appropriate authorities.
+6 more sources
Abstract This chapter charts the development at European and national levels of legislation to combat the laundering of proceeds of crime, with particular reference to those provisions which require or permit the disclosure of relevant information to the appropriate authorities.
+6 more sources
Anti-Money Laundering by Group-Aware Deep Graph Learning
IEEE Transactions on Knowledge and Data Engineering, 2023Anti-money laundering (AML) is a classical data mining problem in finance applications. As well known, money laundering (ML) is critical to the effective operation of transnational and organized crime, which affects a country's economy, government, and ...
Dawei Cheng +5 more
semanticscholar +1 more source
Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering
Knowledge Discovery and Data Mining, 2023With the upsurge of online banking, mobile payment, and virtual currency, new money-laundering crimes easily conceal in the enormous transaction volume. The traditional rule-based methods with large amounts of alerting thresholds are already incapable of
Xujia Li +5 more
semanticscholar +1 more source
2021
What are the criteria used by Financial Action Task Force (FATF) and the European Union to blacklist jurisdictions at high-risk of money laundering? What are the countries at highest risk according to Panama Papers and FinCEN files? Where do criminals move their illicit money, according to judicial and investigative evidence?
openaire +2 more sources
What are the criteria used by Financial Action Task Force (FATF) and the European Union to blacklist jurisdictions at high-risk of money laundering? What are the countries at highest risk according to Panama Papers and FinCEN files? Where do criminals move their illicit money, according to judicial and investigative evidence?
openaire +2 more sources