J. Nonnenmacher and J. Marx Gómez, Unsupervised anomaly detection for internal auditing: Literature review and research agenda,
The International Journal of Digital Accounting Research
2021-01-17 | journal-article
BibTeX
@article{Nonnenmacher_2021,
doi = {10.4192/1577-8517-v21_1},
url = {https://doi.org/10.4192%2F1577-8517-v21_1},
year = 2021,
month = {jan},
publisher = {The International Journal of Digital Accounting Research},
pages = {1--22},
author = {Jakob Nonnenmacher and and Jorge Marx G{\'{o}}mez and},
title = {Unsupervised anomaly detection for internal auditing: Literature review and research agenda},
journal = {The International Journal of Digital Accounting Research}}
G. Schumann, F. Kruse and J. Nonnenmacher, A Practice-Oriented, Control-Flow-Based Anomaly Detection Approach for Internal Process Audits,
Service-Oriented Computing
2020 | book-chapter
BibTeX
@incollection{Schumann_2020,
doi = {10.1007/978-3-030-65310-1_39},
url = {https://doi.org/10.1007%2F978-3-030-65310-1_39},
year = 2020,
publisher = {Springer International Publishing},
pages = {533--543},
author = {Gerrit Schumann and Felix Kruse and Jakob Nonnenmacher},
title = {A Practice-Oriented, Control-Flow-Based Anomaly Detection Approach for Internal Process Audits},
booktitle = {Service-Oriented Computing}}
J. Nonnenmacher, F. Kruse, G. Schumann and J. Marx G{\'o}mez, Using Autoencoders for Data-Driven Analysis in Internal Auditing,
Proceedings of the 54th Hawaii International Conference on System Sciences
conference-paper
BibTeX
@inproceedings{nonnenmacherusing,
title= {Using Autoencoders for Data-Driven Analysis in Internal Auditing},
author= {Nonnenmacher, Jakob and Kruse, Felix and Schumann, Gerrit and Marx G{\'o}mez, Jorge},
booktitle= {Proceedings of the 54th Hawaii International Conference on System Sciences},
pages= {5748}}
