BAnDIT: Business Process Anomaly Detection in Transactions

DOI to cite this document:: 10.5283/epub.59359

Rudolf, Nico ; Böhmer, Kristof ; Leitner, Maria

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Date of publication of this fulltext: 14 Oct 2024 09:21

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Abstract

Business process anomaly detection enables the prevention of misuse and failures. Existing approaches focus on detecting anomalies in control, temporal, and resource behavior of individual instances, neglecting the communication of multiple instances in choreographies. Consequently, anomaly detection capabilities are limited. This study presents a novel neural network-based approach to ...