Introduction
This project implements the TLKC-privacy model proposed in the paper TLKC-Privacy Model for Process Mining.
Python package
The implementation has been published as a standard Python package. Use the following command to install the corresponding Python package:
pip install p-tlkc-privacy
Usage
from p_tlkc_privacy.privacyPreserving import privacyPreserving
event_log = "running_example.xes"
L = [2]
C = [1]
K = [1]
K2 = [0.1]
# sensitive = ['creator']
sensitive = []
T = ["minutes"]
cont = []
bk_type = "sequence" #set, multiset, sequence, relative
privacy_aware_log_dir = "xes_results"
privacy_aware_log_path = "test.xes"
pp = privacyPreserving(event_log, "example")
result = pp.apply(T, L, K, C, K2, sensitive, cont, bk_type, privacy_aware_log_dir, privacy_aware_log_path)
print(result)
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Release files for p-tlkc-privacy 0.0.14
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| p_tlkc_privacy-0.0.14.tar.gz | 16.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| p_tlkc_privacy-0.0.14-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 49.8 kB
Release files / p_tlkc_privacy-0.0.14.tar.gz
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Release files / p_tlkc_privacy-0.0.14-py3-none-any.whl
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