Money laundering (ML) is the behavior to conceal source of money achieved by illegitimate activities, and always be a fast process involving frequent chained transactions. How can we detect ML fraudulent activity in large scale attributed transaction data (i.e. tensors)? Most existing methods dense blocks graph or tensor, which do not consider fact that are frequently transferred through middle...

Banks and other financial institutions handle sensitive records regarding people, trusts, corporations. Money, as a useful commodity, makes organizations valuable prone to criminal elements. Common activities that target the banking sector include money laundering, identity personal theft, terrorism financing. These are global issues have garnered attention of international bodies governments. ...

ii Over the past year, Protiviti has published a series of point-of-view (POV) papers on anti-money laundering (AML) transaction monitoring systems. These papers address issues ranging from selecting and implementing the right system to employing a proper governance framework. Given the ever-increasing regulatory scrutiny related to AML issues and the ever-more-complex compliance challenges fac...