Accepted Papers

Accepted papers that use PM4Py

This page wants to collect all the papers in the scientific world that have been accepted/published using the PM4Py library (or custom forks of the library)


Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science (Alessandro Berti, Sebastiaan van Zelst, Wil van der Aalst) Accepted at ICPM 2019 Demo Track (ICPM 2019, 26 June 2019)


Mining Uncertain Event Data in Process Mining (Marco Pegoraro, Wil van der Aalst)Accepted at ICPM 2019 (ICPM 2019, 26 June 2019)


Reviving Token-based Replay: Increasing Speed While Improving Diagnostics (Alessandro Berti, Wil van der Aalst) Accepted at ATAED 2019 Workshop (ICPM 2019, 25 June 2019, CEUR Vol-2371 ISSN 1613-0073)