Money laundering presents a pervasive challenge, burdening society by financing illegal
activities. To more effectively combat and detect money laundering, the use of network …

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 …

Tax evasion is an illegal activity that causes severe losses of government revenues and
disturbs the economic order. To alleviate this problem, decision support systems that enable …

Trust‐ability, reputation, security and quality are the main concerns for public and private
financial institutions. To detect fraudulent behaviour, several techniques are applied …

A recent stream of research focuses on building high-performance data analysis and
management systems that run completely in the browser. Indeed, today personal devices …

Graph and network visualization supports exploration, analysis and communication of
relational data arising in many domains: from biological and social networks, to …

Visually encoding quantitative information associated with graph links is an important
problem in graph visualization. A conventional approach is to vary the thickness of lines to …

Motivated by the need for decision-making systems that avoid bias and discrimination, the
concept of fairness recently gained traction in the broad field of artificial intelligence …

With the cyclical development of emerging technologies, in reality, the evolution dynamics of
their innovation networks will inevitably show obvious time attributes. Numerous network …

As today personal devices offer non-trivial amount of computing power and Web browsers
provide powerful JavaScript engines, a recent stream of work focuses on building high …