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]

Abstract

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