Data mining in anti-money laundering field

This report aims to focus on how suspicious transaction report is created with data mining methods and used from the point of view of knowledge management.

This paper considers data mining versus knowledge management in the anti-money laundering (AML) field.

In the AML field, the information and knowledge gained are not necessarily used for or shared with the related shareholders. Creating and co-evolving the network of “knowledge professionals” is the impending assignment in this industry. The first and most important task is knowledge management in the global AML field.

The report considers the creation with data mining methods and utilization from the point of view of knowledge management.