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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.

The purpose of this paper is to construct a theoretical hypothesis to explain the organizational knowledge creation in international cooperation, which aims to contribute to practical problem solving in the process of knowledge creation.

This research reveals that anti-money laundering based on the concept of knowledge and organizational knowledge creation mechanisms could co-evolve in inter-organizational knowledge.

By simplifying the knowledge flow of anti-money laundering in international cooperation, the author illustrates the process of knowledge creation, sharing and utilizing.

This paper used the example of international anti-money laundering activities to describe knowledge creation, process of knowledge management, organizational structure and the emergence of international cooperation.