The following commands can be directly run to process the six datasets in the paper:
- 'bpi13_closed_problems'
- 'bpi13_problems'
- 'bpi13_incidents'
- 'bpi12w_complete'
- 'bpi12_all_complete'
- 'BPI2020_Prepaid'
The preprocessing code for event logs is located in the data.process.py script.
By running the main.py script, the operation for four basic graph configurations can be completed. The corresponding evaluation metrics can be calculated through the metrics.py script.
By running the env_train.py script, the training of the decision model can be completed, and the graph data for the final hybrid graph configuration can be generated.
Run the final_main.py script to train the prediction model. Calculate the metrics through the metrics_final.py script.
pytorch: Used for deep learning operations. python: The programming language used for the project.
The event logs for predictive business process monitoring can be found at 4TU Research Data.