43 citations · 102 across the 11 of their papers we have counts for
4 papers · 1 filter
Probability Estimation of Uncertain Process Trace Realizations
Marco Pegoraro, Bianka Bakullari, Merih Seran Uysal +1
Process mining is a scientific discipline that analyzes event data, often collected in databases called event logs. Recently, uncertain event logs have become of interest, which co…
Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP)
Wil van der Aalst, Tobias Brockhoff, Anahita Farhang Ghahfarokhi +3
Operational processes in production, logistics, material handling, maintenance, etc., are supported by cyber-physical systems combining hardware and software components. As a resul…
Text-Aware Predictive Monitoring of Business Processes
Marco Pegoraro, Merih Seran Uysal, David Benedikt Georgi +1
The real-time prediction of business processes using historical event data is an important capability of modern business process monitoring systems. Existing process prediction met…
PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data
Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
The discipline of process mining aims to study processes in a data-driven manner by analyzing historical process executions, often employing Petri nets. Event data, extracted from…