01_data_preprocessing.ipynb: Analyses and filter initial event log (saved in DATA_DIR).
The script adds the accumulated time in hours and days to the original data for each case-id activity in DATA_LOG_DIR/*_filtered.csv.
The script also generates the file DATA_LOG_DIR/*_total_time.csv containing, for each case-id the total number of activities and the total time of the case-id in hours and days.
02_data_prefix.ipynb: Given an event log, it extracts its 'prefix' (the first n events) and save it in DATA_LOG_DIR.
03_data_encoding.ipynb: Encodes the event log and save it in DATA_LOG_ENCODED_DIR. Set the variable encoding to 'B' = binary, 'F' = Frequency, 'I' = simple Index.
See requirements.txt for the required libraries (pip install -r requirements.txt).