Macuyiko / representational-process

Representational process mining

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representational-process

Representational process mining

Code structure

  • pieter/*.py: Python files for Act2Vec, Trace2Vec, Log2Vec and Model2Vec, as well as support files
  • pieter/data files.7z: input/output models and logs. Unzip locally but do not commit to GitHub (file size is too large)
  • pieter/.ipynb: experimental notebooks
  • pieter/E-mail with other heatmaps.pdf: preliminary results when playing with some other Model2Vec ideas

Model2Vec possible approaches:

  • Based on graph structure or based on Petri net semantics (Markings)?
  • Directional or not?
  • Identifiers for places or single "PLACE" token?
  • Include places altogether or not?
  • Identifiers for activities or single "ACT" token?
  • Identifiers for invisible activities?

Preliminary experiments with a structural based approach seem to give good results.

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Representational process mining


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Language:Jupyter Notebook 99.8%Language:Python 0.2%