May 17, 2018 · Existing business process anomaly detection approaches typically fall short in supporting experts when analyzing identified anomalies.
Association Rules for Anomaly Detection and Root Cause Analysis ...
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It will be shown that doing so enables to explain anomalies, support process change and flexible executions, and to facilitate the estimation of anomaly ...
It will be shown that basing anomaly detection on association rule mining enables to explain anomalies, support process change and flexible executions, ...
This paper proposes a novel anomaly detection approach based on association rule mining. It fosters the explanation of anomalies and the estimation of their ...
Request PDF | On May 17, 2018, Kristof Böhmer and others published Association Rules for Anomaly Detection and Root Cause Analysis in Process Executions ...
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Detecting anomalies in process runtime behavior is crucial: they might reflect, on the one side, security breaches and fraudulent behavior and on the other ...
A set of anomaly detection association rules specifying normal behavior is mined from the event data. A trace is detected as deviating if its aggregate support ...
Sep 10, 2019 · This paper proposes a novel anomaly detection approach based on association rule mining. It fosters the explanation of anomalies and the ...
High-level goal of anomaly extraction is to filter and summarize the set of anomalous flows that coincide with the flows caused by a network event such as ...
May 30, 2024 · Detecting anomalous executions in business process data is crucial for safeguarding the efficiency and success of an organization.
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