... of money laundering concepts, issues and techniques of AML. The review articles are on the techniques of AML, such as machine learning, data mining, graph networks and artificial intelligence, which are applied to detect and prevent money laundering issues. Originality/value Money laundering, being...

... Publishing Limited 2023 Emerald Publishing Limited Licensed re-use rights only Money laundering Technology Artificial intelligence Machine learning Data mining Social network analysis Based on data from the Corruption Perceptions Index (CPI) 2022, the state of Indonesia is ranked 110...

... the customer portfolio and his transaction profile is analyzed through BigData and data mining. To develop a methodology to assess the ML risk to which a financial institution is exposed, we established key risk elements and their respective indicators. Table I provides a list of these indicators...

... are from financial institutions. Moreover, it cannot be said that the effect is used completely. It is important to increase the accuracy of the data mining method and incorporate the concept of knowledge management. Furthermore, it is desirable to use suspicious transactions from a global “knowledge...

... of unstructured data form suspicious money laundering transactions to inform public policies. By deducing from the results of empirical studies in the field of money laundering detection, this paper presented an overview of data mining technology for detecting suspicious transactions. After...

...Noriaki Yasaka 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...