5 papers
All Eyes on the Workflow: Automated and Efficient Event Discovery from Video Streams
Marco Pegoraro, Jonas Seng, Dustin Heller +2
Disciplines such as business process management and process mining aid organizations by discovering insights about processes on the basis of recorded event data. However, an obstac…
ProReco: A Process Discovery Recommender System
Tsung-Hao Huang, Tarek Junied, Marco Pegoraro +1
Process discovery aims to automatically derive process models from historical execution data (event logs). While various process discovery algorithms have been proposed in the last…
Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction
Francesco Vitale, Marco Pegoraro, Wil M. P. van der Aalst +1
The business processes of organizations may deviate from normal control flow due to disruptive anomalies, including unknown, skipped, and wrongly-ordered activities. To identify th…
Applying Process Mining on Scientific Workflows: a Case Study on High Performance Computing Data
Zahra Sadeghibogar, Alessandro Berti, Marco Pegoraro +1
Computer-based scientific experiments are becoming increasingly data-intensive, necessitating the use of High-Performance Computing (HPC) clusters to handle large scientific workfl…
Ranking the Top-K Realizations of Stochastically Known Event Logs
Arvid Lepsien, Marco Pegoraro, Frederik Fonger +3
Various kinds of uncertainty can occur in event logs, e.g., due to flawed recording, data quality issues, or the use of probabilistic models for activity recognition. Stochasticall…