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"
Authors/Creators
- 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)
| Name | Size | Download all |
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md5:074a03de040b718d7ce6c38b586b211a
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228.1 MB | Preview Download |