A Workload Prediction Approach Using Models Stacking Based on Recurrent Neural Network and Autoencoder

Hoang Minh Nguyen, Sungpil Woo, Janggwan Im, Tae Joon Jun, Daeyoung Kim 0001. A Workload Prediction Approach Using Models Stacking Based on Recurrent Neural Network and Autoencoder. In Jinjun Chen, Laurence T. Yang, editors, 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016, Sydney, Australia, December 12-14, 2016. pages 929-936, IEEE, 2016. [doi]

@inproceedings{NguyenWIJ016,
  title = {A Workload Prediction Approach Using Models Stacking Based on Recurrent Neural Network and Autoencoder},
  author = {Hoang Minh Nguyen and Sungpil Woo and Janggwan Im and Tae Joon Jun and Daeyoung Kim 0001},
  year = {2016},
  doi = {10.1109/HPCC-SmartCity-DSS.2016.0133},
  url = {http://dx.doi.org/10.1109/HPCC-SmartCity-DSS.2016.0133},
  researchr = {https://researchr.org/publication/NguyenWIJ016},
  cites = {0},
  citedby = {0},
  pages = {929-936},
  booktitle = {18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016, Sydney, Australia, December 12-14, 2016},
  editor = {Jinjun Chen and Laurence T. Yang},
  publisher = {IEEE},
  isbn = {978-1-5090-4297-5},
}