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%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
}