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)

Demos:

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)

CONFERENCE PAPERS:

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

WORKSHOP PAPERS:

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)