Deep learning and explainable artificial intelligence techniques applied for detecting money laundering–a critical review
Money laundering has been a global issue for decades, which is one of the major threat for
economy and society. Government, regulatory and financial institutions are combating it …
economy and society. Government, regulatory and financial institutions are combating it …
Machine learning techniques for anti-money laundering (AML) solutions in suspicious transaction detection: a review
Money laundering has been affecting the global economy for many years. Large sums of
money are laundered every year, posing a threat to the global economy and its security …
money are laundered every year, posing a threat to the global economy and its security …
A survey of anomaly detection techniques in financial domain
Anomaly detection is an important data analysis task. It is used to identify interesting and
emerging patterns, trends and anomalies from data. Anomaly detection is an important tool …
emerging patterns, trends and anomalies from data. Anomaly detection is an important tool …
Web-application development using the model/view/controller design pattern
A Leff, JT Rayfield - Proceedings fifth ieee international …, 2001 - ieeexplore.ieee.org
The Model/View/Controller design pattern is very useful for architecting interactive software
systems. This design pattern is partition-independent, because it is expressed in terms of an …
systems. This design pattern is partition-independent, because it is expressed in terms of an …
Flowscope: Spotting money laundering based on graphs
Given a graph of the money transfers between accounts of a bank, how can we detect
money laundering? Money laundering refers to criminals using the bank's services to move …
money laundering? Money laundering refers to criminals using the bank's services to move …
Artificial intelligence for anti-money laundering: a review and extension
J Han, Y Huang, S Liu, K Towey - Digital Finance, 2020 - Springer
This paper surveys the existing academic literature on artificial intelligence (AI) technologies
for anti-money laundering (AML). We review the state-of-the-art AI methods for AML and …
for anti-money laundering (AML). We review the state-of-the-art AI methods for AML and …
[HTML][HTML] Follow the trail: Machine learning for fraud detection in Fintech applications
B Stojanović, J Božić, K Hofer-Schmitz, K Nahrgang… - Sensors, 2021 - mdpi.com
Financial technology, or Fintech, represents an emerging industry on the global market. With
online transactions on the rise, the use of IT for automation of financial services is of …
online transactions on the rise, the use of IT for automation of financial services is of …
Analysis of classifier algorithms to detect anti-money laundering
In the financial sectors like banking, anti-money laundering (AML) is a very challenging
issue. To prevent the money laundering, various set of procedures, government policies …
issue. To prevent the money laundering, various set of procedures, government policies …
[HTML][HTML] Synergy of blockchain technology and data mining techniques for anomaly detection
Blockchain and Data Mining are not simply buzzwords, but rather concepts that are playing
an important role in the modern Information Technology (IT) revolution. Blockchain has …
an important role in the modern Information Technology (IT) revolution. Blockchain has …
Combining Benford's Law and machine learning to detect money laundering. An actual Spanish court case
E Badal-Valero, JA Alvarez-Jareño, JM Pavía - Forensic science …, 2018 - Elsevier
Objectives This paper is based on the analysis of the database of operations from a macro-
case on money laundering orchestrated between a core company and a group of its …
case on money laundering orchestrated between a core company and a group of its …