Data mining in anti-money laundering field

Noriaki Yasaka (School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan)

Journal of Money Laundering Control

ISSN: 1368-5201

Publication date: 3 July 2017

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

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