An Innovative Deep-Learning Algorithm for Supporting the Approximate Classification of Workloads in Big Data Environments

Alfredo Cuzzocrea, Enzo Mumolo, Carson K. Leung, Giorgio Mario Grasso. An Innovative Deep-Learning Algorithm for Supporting the Approximate Classification of Workloads in Big Data Environments. In Hujun Yin, David Camacho, Peter Tiño, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger, editors, Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part II. Volume 11872 of Lecture Notes in Computer Science, pages 225-237, Springer, 2019. [doi]

@inproceedings{CuzzocreaMLG19,
  title = {An Innovative Deep-Learning Algorithm for Supporting the Approximate Classification of Workloads in Big Data Environments},
  author = {Alfredo Cuzzocrea and Enzo Mumolo and Carson K. Leung and Giorgio Mario Grasso},
  year = {2019},
  doi = {10.1007/978-3-030-33617-2_24},
  url = {https://doi.org/10.1007/978-3-030-33617-2_24},
  researchr = {https://researchr.org/publication/CuzzocreaMLG19},
  cites = {0},
  citedby = {0},
  pages = {225-237},
  booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part II},
  editor = {Hujun Yin and David Camacho and Peter Tiño and Antonio J. Tallón-Ballesteros and Ronaldo Menezes and Richard Allmendinger},
  volume = {11872},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-33617-2},
}