%0 Journal Article %1 tritscher2022towards %A Tritscher, Julian %A Schlör, Daniel %A Gwinner, Fabian %A Krause, Anna %A Hotho, Andreas %D 2022 %J Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2022 %K anomalydetection fraud myown xai %N 1753 %P 79-96 %R https://doi.org/10.1007/978-3-031-23633-4_7 %T Towards Explainable Occupational Fraud Detection %U https://link.springer.com/chapter/10.1007/978-3-031-23633-4_7 %V Communications in Computer and Information Science %@ 978-3-031-23632-7

@article{tritscher2022towards, added-at = {2023-04-28T08:25:03.000+0200}, author = {Tritscher, Julian and Schlör, Daniel and Gwinner, Fabian and Krause, Anna and Hotho, Andreas}, biburl = {https://www.bibsonomy.org/bibtex/2fb82215d0d8ffaa2ad2291041477415c/annakrause}, doi = {https://doi.org/10.1007/978-3-031-23633-4_7}, interhash = {e55fd6325c0d8b46366948c58014f25c}, intrahash = {fb82215d0d8ffaa2ad2291041477415c}, isbn = {978-3-031-23632-7}, journal = {Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2022}, keywords = {anomalydetection fraud myown xai}, number = 1753, pages = {79-96}, timestamp = {2023-04-28T08:25:03.000+0200}, title = {Towards Explainable Occupational Fraud Detection}, url = {https://link.springer.com/chapter/10.1007/978-3-031-23633-4_7}, volume = {Communications in Computer and Information Science}, year = 2022 }