Data mining in anti-money laundering field
Abstract
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.
Keywords
Citation
Yasaka, N. (2017), "Data mining in anti-money laundering field", Journal of Money Laundering Control, Vol. 20 No. 3, pp. 301-310. https://doi.org/10.1108/JMLC-09-2015-0041
Publisher
:Emerald Publishing Limited
Copyright © 2017, Emerald Publishing Limited