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For an update on the code and the extended article please go to https://github.com/jaripeeperkorn/LSTM_Process_Model_Structure

This is the code and data used for the paper "Can deep neural networks learn process model structure? An assessment framework and analysis"

If you use this please cite: Peeperkorn, J., vanden Broucke, S., De Weerdt, J. (2022). Can Deep Neural Networks Learn Process Model Structure? An Assessment Framework and Analysis. In: Munoz-Gama, J., Lu, X. (eds) Process Mining Workshops. ICPM 2021. Lecture Notes in Business Information Processing, vol 433. Springer, Cham. https://doi.org/10.1007/978-3-030-98581-3_10

The code used produce the experiments found in the paper can be found here:

  • Grid contains the code used to do the hyperparamater grid search
  • Experiment contains the code used to perform the main experiments

Data and pretrained LSTMs can be found here: https://data.mendeley.com/datasets/f5skxptrbs/1

This repository will be updated and restructured soon!

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Generalization in predictive process monitoring.

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