Summary

This research objective focuses on data mining, which is quickly becoming a popular artificial intelligence technique used by tax administrations for better fraud detection. However, many challenges still exist, from using the wide variety of data: traditional financial data, and more novel data sources such as images and data generated through Internet of Things devices, to the need to data mining techniques tailored to such data, with wide applications, incl. customs fraud, black economy, residence and VAT fraud.


Research projects

Fraud detection with behavioural data

Explainable Artificial Intelligence (project 1) 

Explainable Artificial Intelligence (project 2) 

Publications and presentations

2020 

2019

2018

2016

  •  Van Hoeyveld, Jellis, Martens, David, Peeters, Bruno, "Datamining voor fraudedetectie",  in Cahiers politiestudies / Centrum voor Politiestudies,  Gent, 2016, 39:2(2016), p. 167-211
  •  Martens, David, De Cnudde, Sofie, Moeyersoms, Julie, Praet, Stiene, Stankova, Marija, Tobback, Ellen, Vanhoeyveld, Jellis, "Big data in banking", in Bank- en financiewezen / Belgisch Financieel Forum. Studiecentrum voor het Financiewezen; Forum financier belge. Centre d'études financières, Brussel, 2016, p. 117-122
  •  Vanhoeyveld, Jellis, Martens, David, Peeters, Bruno, "Datamining voor fraudedetectie", in Criminele organisaties en organisatiecriminaliteit, Serie Cahiers politiestudies / Centrum voor Politiestudies, Antwerpen, Maklu, 2016, p. 167-211