PROVED (PRocess mining OVer uncErtain Data) is a collection of tools to perform process mining on uncertain event data.
Project description
====== PROVED (PRocess mining OVer uncErtain Data)
Branch dedicated to the experiments for the paper
"Efficient Construction of Behavior Graphs for Uncertain Event Data", Marco Pegoraro, Merih Seran Uysal, Wil M.P. van der Aalst, In International Conference on Business Information Systems (BIS), 2020.
Experiments are in the folder experiments. Needs additional data files to run:
- BPI_Challenge_2012.xes: from https://data.4tu.nl/repository/uuid:3926db30-f712-4394-aebc-75976070e91f
- Help_Desk_event_log.xes: from https://data.4tu.nl/repository/uuid:0c60edf1-6f83-4e75-9367-4c63b3e9d5bb
- Road_Traffic_Fine_Management_Process.xes: from https://data.4tu.nl/repository/uuid:270fd440-1057-4fb9-89a9-b699b47990f5
For more information see http://mpegoraro.net/pages/research.html
- Free software: GNU General Public License v3
- Documentation: Coming soon!
Features
- Coming soon!
Credits
This package was created with Cookiecutter_ and the audreyr/cookiecutter-pypackage_ project template.
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _audreyr/cookiecutter-pypackage: https://github.com/audreyr/cookiecutter-pypackage
======= History
0.1.0 (2019-08-22)
- First release on PyPI.
Release history Release notifications | RSS feed
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