Abstract: ACD2 is a tool for detecting anomalies and concept drifts in Business process logs. In contrast to many other existing algorithms, ACD2 does not require any manual parameter to be set. ACD2 is based on Extended Dynamic Bayesian Networks. These models are constructed automatically using machine learning, but can be revised by the user afterwards. This model can then be used for scoring cases. Our tool visually represents these scores, making it easy for a user to investigate the data.
By Stephen Pauwels and Toon Calders.
In Demo track for BPM 2019