Siehe auch


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

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

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

(Stand: 23.11.2023)  | 
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