5 citations · 9 across the 5 of their papers we have counts for
5 papers
Goal-driven Variant Categorization
Daniel Calegari, Daniel Amyot
Process discovery rarely yields a single coherent process structure. For analysis, a common step is to cluster process variants based on structural similarity and then assign busin…
A Framework for Object-Centric Predictive Monitoring of Collaborative Processes
Daniel Calegari, Andrea Delgado, Leonel Peña +1
Predictive Process Monitoring (PPM) of collaborative, inter-organizational processes requires reasoning over multiple interdependent entities, including participants, messages, loc…
Towards a Simple and Extensible Standard for Object-Centric Event Data (OCED) -- Core Model, Design Space, and Lessons Learned
Dirk Fahland, Marco Montali, Julian Lebherz +12
Process mining is shifting towards use cases that explicitly leverage the relations between data objects and events under the term of object-centric process mining. Realizing this…
Extending predictive process monitoring for collaborative processes
Daniel Calegari, Andrea Delgado
Process mining on business process execution data has focused primarily on orchestration-type processes performed in a single organization (intra-organizational). Collaborative (in…
A Systematic Review on Process Mining for Curricular Analysis
Daniel Calegari, Andrea Delgado
Educational Process Mining (EPM) is a data analysis technique that is used to improve educational processes. It is based on Process Mining (PM), which involves gathering records (l…