Money laundering is synonymous to clothes laundering and it is the process of transforming the real nature of the source of an income or money. This transformation of the source is usually from an illegitimate source to a legitimate source. Explicitly programmed system, rule-based system and machine learning system exist as anti-money laundering system, however these systems have one or more setbacks, mostly the explicitly programmed and rule-based systems due to their inability to learn from experiences and to improve their performance as they used. The k nearest Neighbour (kNN) model was developed using open datasets on financial transaction from Kaggle.com, which is an open-source website that holds a lot of data. An accuracy of 98.4% wa...
Money launderers hide traces of their transactions with the involvement of entities that participate...
Money laundering has been in existence for a long time, but with recent developments in cryptocurren...
Analysing large amounts of financial information within databases can be hardly accomplished when de...
Money laundering and Financing of Terrorism is the process that converts money illegally obtained, i...
The illegal act of hiding the source of money obtained illegally through a complex web of financial ...
During the last decades, universal economy has experienced money laundering and its destructive impa...
As international money transfers become more automated, it becomes easier for criminals to transfer ...
Money laundering has become a great economic problem with huge consequences on society and financia...
Money Laundering is a big problem that concerns many governments and institutions. Vast amounts of m...
There are several areas that can be applied the machine learning techniques, one of which is the fin...
Money laundering has been a global issue for decades, which is one of the major threat for economy a...
Annually, money laundering activities threaten the global economy. Proceeds of these activities may ...
In the age of unpredictable fluctuations of technology, disorganized detection has been recently fig...
Anti-money laundering (AML) systems play a critical role in safeguarding global economy. As money la...
In order to prevent money laundering and terrorism financing, it is critical for banks to develop an...
Money launderers hide traces of their transactions with the involvement of entities that participate...
Money laundering has been in existence for a long time, but with recent developments in cryptocurren...
Analysing large amounts of financial information within databases can be hardly accomplished when de...
Money laundering and Financing of Terrorism is the process that converts money illegally obtained, i...
The illegal act of hiding the source of money obtained illegally through a complex web of financial ...
During the last decades, universal economy has experienced money laundering and its destructive impa...
As international money transfers become more automated, it becomes easier for criminals to transfer ...
Money laundering has become a great economic problem with huge consequences on society and financia...
Money Laundering is a big problem that concerns many governments and institutions. Vast amounts of m...
There are several areas that can be applied the machine learning techniques, one of which is the fin...
Money laundering has been a global issue for decades, which is one of the major threat for economy a...
Annually, money laundering activities threaten the global economy. Proceeds of these activities may ...
In the age of unpredictable fluctuations of technology, disorganized detection has been recently fig...
Anti-money laundering (AML) systems play a critical role in safeguarding global economy. As money la...
In order to prevent money laundering and terrorism financing, it is critical for banks to develop an...
Money launderers hide traces of their transactions with the involvement of entities that participate...
Money laundering has been in existence for a long time, but with recent developments in cryptocurren...
Analysing large amounts of financial information within databases can be hardly accomplished when de...