SCTR7: Data Science and Analytics

Both fraudsters and cyber attackers take advantage of an increasingly interconnected world to infiltrate and assault financial and virtual infrastructures. Especially sophisticated electronic interactions bind people together in complex, global networks. While such networks have created new opportunities for interaction and commerce, they have also increased the scope and scale of risks. To stay a […]

The fight against fraud and AML often hits a ‘brick wall’ when encountering labyrinthian international, corporate structures. Even well-known brands such as Google and Starbucks, use controversial, though currently accepted, international structures to optimize capital flows and to reduce tax liabilities, for instance the so-called Double Irish or Dutch Sandwich. Due to this complexity, increasingly […]

Recent collected posts and links to fraud detection and mitigation items: Network analytics for fraud detection & mitigation (video demostration) Part 1 video demo Part 2 video demo Semantics analytics lecture (Erasmus RSM) Demonstration of semantic analytics (video demonstration) Blog post Excuse me, do you speak fraud? Blog post Network analytics for fraud detection Blog post Network analytics: more than […]

Excuse me, do you speak fraud? Network graph analysis for fraud detection and mitigation by Scott Mongeau Executive summary Network analysis offers a new set of techniques to tackle the persistent and growing problem of complex fraud. Network analysis supplements traditional techniques by providing a mechanism to bridge investigative and analytics methods. Beyond base visualization, […]

Network analysis is a rapidly growing analytics domain propelled by the explosion of interest in social networking. The methods rest upon much older foundations in the realms of statistics and social science. Euler’s graph theory was proposed in the early 18th century and Moreno established the foundations for social network analysis (SNA) in the 1930’s. Want […]

The application of network analysis to the growing challenge of fraud and financial crime is a fast emerging advanced data analytics frontier. As any good fraud investigation knows, fraud and financial crime are as much deep social phenomenon as aspects of financial transactions gone awry. Thus the application of social network analysis is able to […]