95 citations · 188 across the 16 of their papers we have counts for
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cs.DB2019
Increasing Scalability of Process Mining using Event Dataframes: How Data Structure Matters
Alessandro Berti
Process Mining is a branch of Data Science that aims to extract process-related information from event data contained in information systems, that is steadily increasing in amount.…
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…