43 citations · 181 across the 31 of their papers we have counts for
10 papers · 1 filter
Resolving Uncertain Case Identifiers in Interaction Logs: A User Study
Marco Pegoraro, Merih Seran Uysal, Tom-Hendrik Hülsmann +1
Modern software systems are able to record vast amounts of user actions, stored for later analysis. One of the main types of such user interaction data is click data: the digital t…
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…
Probabilistic and Non-Deterministic Event Data in Process Mining: Embedding Uncertainty in Process Analysis Techniques
Marco Pegoraro
Process mining is a subfield of process science that analyzes event data collected in databases called event logs. Recently, novel types of event data have become of interest due t…
Spectral Maps for Learning on Subgraphs
Marco Pegoraro, Riccardo Marin, Arianna Rampini +3
In graph learning, maps between graphs and their subgraphs frequently arise. For instance, when coarsening or rewiring operations are present along the pipeline, one needs to keep…
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…
Process Mining on Uncertain Event Data
Marco Pegoraro
With the widespread adoption of process mining in organizations, the field of process science is seeing an increase in the demand for ad-hoc analysis techniques of non-standard eve…
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…
Event Log Sampling for Predictive Monitoring
Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park +3
Predictive process monitoring is a subfield of process mining that aims to estimate case or event features for running process instances. Such predictions are of significant intere…
A Web-Based Tool for Comparative Process Mining
Madhavi Bangalore Shankara Narayana, Elisabetta Benevento, Marco Pegoraro +5
Process mining techniques enable the analysis of a wide variety of processes using event data. Among the available process mining techniques, most consider a single process perspec…
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…