Quality In / Quality Out: Data quality more relevant than model choice in anomaly detection with the UGR'16

José Camacho 0001, Katarzyna Wasielewska, Pablo Espinosa, Marta Fuentes-García. Quality In / Quality Out: Data quality more relevant than model choice in anomaly detection with the UGR'16. In NOMS 2023, IEEE/IFIP Network Operations and Management Symposium, Miami, FL, USA, May 8-12, 2023. pages 1-5, IEEE, 2023. [doi]

@inproceedings{0001WEF23,
  title = {Quality In / Quality Out: Data quality more relevant than model choice in anomaly detection with the UGR'16},
  author = {José Camacho 0001 and Katarzyna Wasielewska and Pablo Espinosa and Marta Fuentes-García},
  year = {2023},
  doi = {10.1109/NOMS56928.2023.10154333},
  url = {https://doi.org/10.1109/NOMS56928.2023.10154333},
  researchr = {https://researchr.org/publication/0001WEF23},
  cites = {0},
  citedby = {0},
  pages = {1-5},
  booktitle = {NOMS 2023, IEEE/IFIP Network Operations and Management Symposium, Miami, FL, USA, May 8-12, 2023},
  publisher = {IEEE},
  isbn = {978-1-6654-7716-1},
}