43 citations · 181 across the 31 of their papers we have counts for
8 papers · 1 filter
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…
OCEL (Object-Centric Event Log) 2.0 Specification
Alessandro Berti, Istvan Koren, Jan Niklas Adams +10
Object-Centric Event Logs (OCELs) form the basis for Object-Centric Process Mining (OCPM). OCEL 1.0 was first released in 2020 and triggered the development of a range of OCPM tech…
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…
Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study
Elisabetta Benevento, Marco Pegoraro, Mattia Antoniazzi +6
The discipline of process mining has a solid track record of successful applications to the healthcare domain. Within such research space, we conducted a case study related to the…
Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data
Marco Pegoraro, Merih Seran Uysal, Tom-Hendrik Hülsmann +1
Among the many sources of event data available today, a prominent one is user interaction data. User activity may be recorded during the use of an application or website, resulting…
An XES Extension for Uncertain Event Data
Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
Event data, often stored in the form of event logs, serve as the starting point for process mining and other evidence-based process improvements. However, event data in logs are of…
Analyzing Medical Data with Process Mining: a COVID-19 Case Study
Marco Pegoraro, Madhavi Bangalore Shankara Narayana, Elisabetta Benevento +3
The recent increase in the availability of medical data, possible through automation and digitization of medical equipment, has enabled more accurate and complete analysis on patie…
Discovering Process Models from Uncertain Event Data
Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
Modern information systems are able to collect event data in the form of event logs. Process mining techniques allow to discover a model from event data, to check the conformance o…