Towards a data-driven approach for fraud detection in the social insurance field: A case study in Upper Austria

Autoren Johannes Himmelbauer
Jorge Martínez Gil
Michael Ksen
Katharina Linner
Sieglinde Plakolm
Editoren A. Kö
E. Francesconi
G. Anderst-Kotsis
A Min Tjoa
I. Khalil
Titel Towards a data-driven approach for fraud detection in the social insurance field: A case study in Upper Austria
Buchtitel Electronic Government and the Information Systems Perspective - Proc. EGOVIS 2019
Typ in Konferenzband
Verlag Springer
Serie Lecture Notes in Computer Science
Band 11709
ISBN 978-3-030-27522-8
DOI 10.1007/978-3-030-27523-5_6,
Monat August
Jahr 2019
Seiten 70-84
SCCH ID# 19033
Abstract

The Social Insurance industry can be considered as a basic pillar of the welfare state in many countries around the world. However, there is not much public research work on how to prevent social fraud. And the few published works are oriented towards detecting fraud on the side of the employees or providers. In this work, our aim is to describe our experience when designing and implementing a data-driven approach for fraud detection but in relation to employers not meeting their obligations. In fact, we present here a case study in Upper Austria but from which interesting lessons can be drawn to be applied in a wide range of diffrent situations.