activity
20192026
most citedConformance Checking over Uncertain Event Data

43 citations · 181 across the 31 of their papers we have counts for

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7 papers · 1 filter

cs.AI2022★ 1 cited

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…

cs.AI2022

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…

cs.AI2021★ 7 cited

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…

cs.AI2021★ 16 cited

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…

cs.AI2021

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…

cs.AI2020★ 43 cited

Conformance Checking over Uncertain Event Data

Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst

The strong impulse to digitize processes and operations in companies and enterprises have resulted in the creation and automatic recording of an increasingly large amount of proces…

cs.AI2019★ 37 cited

Mining Uncertain Event Data in Process Mining

Marco Pegoraro, Wil M. P. van der Aalst

Nowadays, more and more process data are automatically recorded by information systems, and made available in the form of event logs. Process mining techniques enable process-centr…