Published April 19, 2021 | Version 0.1.0
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Reproducibility package for "Discovering Generative Models from Event Logs: Data-driven Simulation vs Deep Learning"

  • 1. University of Tartu
  • 2. Universidad de los Andes

Description

Data and generative models for research article Discovering Generative Models from Event Logs: Data-driven Simulation vs Deep Learning.

This record contains the complete and partitioned event logs, deep learning generative models (*.h5 and *.m format), simulation models for the BIMP simulator (*.bpmn format), and all the raw and summarized results of the paper. 

The source code of the project can be found at:

  • Simod tool: https://github.com/AdaptiveBProcess/Simod
  • DeepGenerator: https://github.com/AdaptiveBProcess/GenerativeLSTM
  • Adapted LSTM(GAN): https://github.com/AdaptiveBProcess/LSTM-GAN

Files

reproducibility_package.zip

Files (228.1 MB)

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