3 citations · 5 across the 3 of their papers we have counts for
4 papers · 1 filter
Discovering High-Quality Process Models Despite Data Scarcity
Jan Niklas Adams, Jari Peeperkorn, Tobias Brockhoff +6
Process discovery algorithms learn process models from executed activity sequences, describing concurrency, causality, and conflict. Concurrent activities require observing multipl…
Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data
Marco Pegoraro, Merih Seran Uysal, Tom-Hendrik Hülsmann +1
Among the many sources of event data available today, a prominent one is user interaction data. User activity may be recorded during the use of an application or website, resulting…
An XES Extension for Uncertain Event Data
Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
Event data, often stored in the form of event logs, serve as the starting point for process mining and other evidence-based process improvements. However, event data in logs are of…
Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP)
Wil van der Aalst, Tobias Brockhoff, Anahita Farhang Ghahfarokhi +3
Operational processes in production, logistics, material handling, maintenance, etc., are supported by cyber-physical systems combining hardware and software components. As a resul…