ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs

The repository contains code referred to the work:

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba, Giuseppe Modugno

ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs

Please cite our work if you find it useful for your research and work.

@ARTICLE{9216173,
  author={V. {Pasquadibisceglie} and A. {Appice} and G. {Castellano} and D. {Malerba} and G. {Modugno}},
  journal={IEEE Access}, 
  title={ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs}, 
  year={2020},
  volume={8},
  number={},
  pages={184073-184086},
  doi={10.1109/ACCESS.2020.3029323}}

Datasets and models:

https://drive.google.com/file/d/1mqCPnN8GioybX9O1VUlJM5K27KNFfsI_/view?usp=sharing

Requirements:

• Keras: 2.3.1
• Tensorflow-gpu: 1.15
• Pandas
• Plotly