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Purpose

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.

Design/methodology/approach

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

Findings

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.

Originality/value

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

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