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Application of basic Process Mining techniques and algorithms in PM4Py

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pm-project

Application of Process Mining techniques and algorithms on artificial logs generated from the execution of a process model. PM4PY was used to run the algorithms and PLG to generate the artificial logs over the process model.

Structure

The repository has the following folder structure:

  • scripts : contains the Python scripts defined to run the Process Discovery and Conformance Checking algorithms.
  • logs : contains the analyzed artificial logs.
  • models : contains the model from which the logs have been generated and the output models obtained from the Process Discovery algorithms.
  • docs : contains the project's documentation

Execution

To execute the scripts, PM4PY must be installed. Then, each script can be executed by providing as an argument the log under analysis:

python .\scripts\heuristic_miner.py .\logs\log_high_noise.xes

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Application of basic Process Mining techniques and algorithms in PM4Py

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