Privacy-Preserving Continuous Event Data Publishing
Project description
Introduction
This project implements "Privacy-Preserving Continuous Event Data Publishing".
Python package
The implementation has been published as a standard Python package. Use the following command to install the corresponding Python package:
pip install pp-cedp
Usage
from pp_cedp.CEDP import CEDP
from datetime import datetime
if __name__ == '__main__':
log_name1 = "./event_logs/EL1_minutes_4_5_1_sequence.xes"
log_name2 = "./event_logs/EL2_minutes_4_5_1_sequence.xes"
event_attributes = ['concept:name']
sensitive = ['Diagnose']
life_cycle = ['complete', '', 'COMPLETE']
all_life_cycle = True #True will ignore the transitions specified in life_cycle
time_accuracy = "original" # original, seconds, minutes, hours, days
bk_length = 3
n = 1
results_dir = "./Results"
result_log_name = "test_"
multiprocess = True
cedp = CEDP()
while n <= bk_length:
start = datetime.now()
cedp.calc_FCB_anonymity(log_name1, log_name2, event_attributes, life_cycle, all_life_cycle, sensitive, time_accuracy, n, bk_length,
result_log_name, results_dir = results_dir, from_time_days =0, to_time_days = 0, multiprocess = multiprocess)
print(datetime.now()-start)
n += 1
Project details
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pp_cedp-0.0.2.tar.gz
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pp_cedp-0.0.2-py3-none-any.whl
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