Machine-Learning Based Approaches for Anomaly Detection and Classification in Cellular Networks

Pedro Casas, Pierdomenico Fiadino, Alessandro D'Alconzo. Machine-Learning Based Approaches for Anomaly Detection and Classification in Cellular Networks. In Alessio Botta, Ramin Sadre, Fabian Bustamante, editors, Traffic Monitoring and Analysis - 8th International Workshop, TMA 2016, Louvain la Neuve, Belgium, April 7-8, 2016. IFIP, 2016. [doi]

@inproceedings{CasasFD16-0,
  title = {Machine-Learning Based Approaches for Anomaly Detection and Classification in Cellular Networks},
  author = {Pedro Casas and Pierdomenico Fiadino and Alessandro D'Alconzo},
  year = {2016},
  url = {http://dl.ifip.org/db/conf/tma/tma2016/tma2016-final50.pdf},
  researchr = {https://researchr.org/publication/CasasFD16-0},
  cites = {0},
  citedby = {0},
  booktitle = {Traffic Monitoring and Analysis - 8th International Workshop, TMA 2016, Louvain la Neuve, Belgium, April 7-8, 2016},
  editor = {Alessio Botta and Ramin Sadre and Fabian Bustamante},
  publisher = {IFIP},
  isbn = {978-3-901882-92-0},
}