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LSTM-BPIC-2017

The code provided in this repository can be readily used to perform the following predictive tasks:

  • Prediction of the next type of activity to be executed in a running process instance
  • Prediction of the timestamp of the next type of activity to be executed
  • Prediction of the continuation of a running instance, i.e. its suffix
  • Prediction of the remaining cycle time of an instance

reference

@inproceedings{Tax2017,
  title={Predictive business process monitoring with {LSTM} neural networks},
  author={Tax, Niek and Verenich, Ilya and La Rosa, Marcello and Dumas, Marlon},
  booktitle={Proceedings of the 29th International Conference on Advanced Information Systems Engineering},
  year={2017},
  pages={477--492},
  publisher={Springer}
}

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  • Jupyter Notebook 98.8%
  • Python 1.2%