95 citations · 135 across the 2 of their papers we have counts for
2 papers
cs.SE2019★ 95 cited
Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science
Alessandro Berti, Sebastiaan J. van Zelst, Wil van der Aalst
Process mining, i.e., a sub-field of data science focusing on the analysis of event data generated during the execution of (business) processes, has seen a tremendous change over t…
cs.OH2017★ 40 cited
RapidProM: Mine Your Processes and Not Just Your Data
Wil M. P. van der Aalst, Alfredo Bolt, Sebastiaan J. van Zelst
The number of events recorded for operational processes is growing every year. This applies to all domains: from health care and e-government to production and maintenance. Event d…