Discovery
Object-Centric Process Discovery
Variants
Object-Centric Variant Visualization
Filtering
Filtering Infrequent Behavior
Processes often generate event data with not only a single case notion. OCπ helps in discovering process models, i.e., object-centric Petri nets, exploring variants of process executions and their respective frequency and filtering out infrequent variants and activities. The tool also supports OCEL 2.0 files.
Installation instructions: Install GraphViz. Unpack the zip-file and run ocpi.exe.
The jsonocel-version of the employed event log can be downloaded here.
About
OCπ is being developed at the Chair for Process and Data Science at RWTH Aachen University.
![](https://ocpi.ai/wp-content/uploads/2022/03/show_picture-e1648719685568.jpg)
Jan Niklas Adams
Researcher and PhD Student, Process and Data Science, RWTH Aachen
![](https://ocpi.ai/wp-content/uploads/2022/03/photo_wvda-scaled.jpg)
Wil van der Aalst
Professor, Chair of Process and Data Science, RWTH Aachen
Publications
OCπ is a tool grounded in research. Below you can find research papers that describe the tool itself & algorithms and concepts behind the tool.
Please do not hesitate to contact us info@ocpi.ai.