Towards a Data-Driven Approach for Fraud Detection in the Social Insurance Field: A Case Study in Upper Austria. Himmelbauer, J., Gil, J. M., Ksen, M., Linner, K., & Plakolm, S. In Ko, A., Francesconi, E., Anderst-Kotsis, G., Tjoa, A M., & Khalil, I., editors, Electronic Government and the Information Systems Perspective - 8th International Conference, EGOVIS 2019, Linz, Austria, August 26-29, 2019, Proceedings, volume 11709, of Lecture Notes in Computer Science, pages 70–84, 2019. Springer.
Paper doi bibtex @inproceedings{DBLP:conf/egovis/HimmelbauerGKLP19,
author = {Johannes Himmelbauer and
Jorge Mart{\'{\i}}nez Gil and
Michael Ksen and
Katharina Linner and
Sieglinde Plakolm},
editor = {Andrea Ko and
Enrico Francesconi and
Gabriele Anderst{-}Kotsis and
A Min Tjoa and
Ismail Khalil},
title = {Towards a Data-Driven Approach for Fraud Detection in the Social Insurance
Field: {A} Case Study in Upper Austria},
booktitle = {Electronic Government and the Information Systems Perspective - 8th
International Conference, {EGOVIS} 2019, Linz, Austria, August 26-29,
2019, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {11709},
pages = {70--84},
publisher = {Springer},
year = {2019},
url = {https://doi.org/10.1007/978-3-030-27523-5\_6},
doi = {10.1007/978-3-030-27523-5\_6},
timestamp = {Tue, 29 Dec 2020 18:36:19 +0100},
biburl = {https://dblp.org/rec/conf/egovis/HimmelbauerGKLP19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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