Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning

Kai Heinrich, Patrick Zschech, Christian Janiesch, Markus Bonin. Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning. Decision Support Systems, 143:113494, 2021. [doi]

@article{HeinrichZJB21,
  title = {Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning},
  author = {Kai Heinrich and Patrick Zschech and Christian Janiesch and Markus Bonin},
  year = {2021},
  doi = {10.1016/j.dss.2021.113494},
  url = {https://doi.org/10.1016/j.dss.2021.113494},
  researchr = {https://researchr.org/publication/HeinrichZJB21},
  cites = {0},
  citedby = {0},
  journal = {Decision Support Systems},
  volume = {143},
  pages = {113494},
}