Money laundering has been a global issue for decades, which is one of the major threat for
economy and society. Government, regulatory and financial institutions are combating it …

The Model/View/Controller design pattern is very useful for architecting interactive software
systems. This design pattern is partition-independent, because it is expressed in terms of an …

Given a graph of the money transfers between accounts of a bank, how can we detect
money laundering? Money laundering refers to criminals using the bank's services to move …

With the growing interest in technological solutions aimed at combating money laundering,
several studies involving the application of technology have been carried out. However …

This paper presents a novel approach, called MALDIVE, to support tax administrations in the
tax risk assessment for discovering tax evasion and tax avoidance. MALDIVE relies on a …

Money laundering is a major global problem, enabling criminal organisations to hide their ill-
gotten gains and to finance further operations. Prevention of money laundering is seen as a …

Graph data is ubiquitous in academia and industry, from social networks to bioinformatics.
The pervasiveness of graphs today has raised the demand for algorithms that can answer …

This paper describes TaxNet, a decision support system for tax evasion discovery, based on
a powerful visual language and on advanced network visualization techniques. It has been …

Subgraph matching, which finds subgraphs isomorphic to a query, is crucial for information
retrieval from data represented as a graph. To avoid redundant explorations in the data …

Graph pattern mining is compute-intensive in processing massive amounts of graph-
structured data. This paper presents Arya, an ultra-fast approximate graph pattern miner that …