Streaming of Object-Centric Process Mining#5
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delas merged 97 commits intobeamline:masterfrom Jul 19, 2025
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Test OCEL 2.0, and JSON pipe
…overy MVP 1: Sliding Window Offline Discovery
Create pybeamline.yml
Test Coverage CI
Increased Tests, Refactoring of OCOperator and OCMerger preparing for MVP 3,
…Mining MVP2: Object-Centric Online Heuristic Mining
MVP-4: Refactoring and Begin Evaluation
Fixes and refactoring
Added Tutorial .ipynb + Cleanup MVP Files
Update file naming
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Streaming Object-Centric Process Mining
This PR introduces:
BOEvent, following general OCEL structure that facilitates object-centric process miningoc_operator, that on the object-centric event pipe allows for manually selection of object-types to be considered through control_flow with the possibility to add individualHM-LCminer configurations per object type. If no control_flow is defined dynamic discovery is initialised,, which creates new substreams for process based on seen object-types, in which new individual miners are created based on either a default_miner parameter or a framework chosen configuration. For concept drift in outer object-type space, an *Inclusion_strategycan be supplied from three variantsRelativeFrequencyStrategy,SlidingWindowStrategyorLossyCountingStrategythat based on miner outcomes determine whether object types should be considered in the finialised model. IntroducedAERandactivity_entity_relations_miner_lossy_counting` that approximates co-occurrence cardinalities based on observation trends within the individual activities.oc_merge_operator, sits downstream theoc_operatorand process individual discovered models, command messages, and AER. Contructs a Object-Centric Directly-Follows Graph, and corresponding AER.