Research Publications
Academic contributions to process mining research, focusing on event log quality evaluation and process model generalization
Research Focus Areas
Event Log Quality
Investigating how various quality issues in event logs impact the outcomes of process mining algorithms and the reliability of discovered process models.
Process Model Generalization
Developing metrics and methodologies to measure and improve the generalization capabilities of process models discovered from event logs.
Academic Papers
Peer-reviewed publications in international conferences and workshops
2024
The Role of Log Representativeness in Estimating Generalization in Process Mining
Entropia: Measuring log representativeness and generalization of discovered process models
Measuring Generalization of Process Models Discovered from Event Logs
2021
Objectively Measure Player Performance on Olympic Weightlifting
Research Impact
Contributions to the process mining community through innovative research on log quality assessment and model evaluation
Novel metric for measuring log representativeness and process model generalization
Framework for evaluating impact of event log quality on process mining outcomes
Advanced methods for assessing and improving process model generalization capabilities
Research Collaborations
Working with leading researchers in process mining and information systems