OCPM supports two different object-centric process mining algorithms (OC-DFG and object-centric Petri nets), with the possibility to reduce the complexity of the model and/or to add filters. | |
OCPM supports conformance checking using declarative rules and/or on the lifecycle of objects. Hence, object-centric processes can be checked using OCPM. Moreover, querying possibilities on top of an advanced feature extraction permits to check even more advanced properties. | |
Advanced statistics and machine learning capabilities (e.g., anomaly detection, dimensionality reduction) are included in OCPM. Analyze your multiple viewpoint process from any viewpoint! |
OCPM is based on the object-centric features offered by the library PM4JS.
See the documentation page of PM4JS to learn how to integrate
these features in your application.
Also, a plugin in the ProM framework (OCELStandard) is available offering support for process discovery, filtering and flattening.