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1 Ergebnisse
1
Quality In / Quality Out: Data quality more relevant than m..:
, In:
NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium
,
Camacho, Jose
;
Wasielewska, Katarzyna
;
Espinosa, Pablo
. - p. 1-5 , 2023
Link:
https://doi.org/10.1109/NOMS56928.2023.10154333
RT T1 <cTitle>NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium</cTitle>: T1 <Title>Quality In / Quality Out: Data quality more relevant than model choice in anomaly detection with the UGR'16</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10154333&Exemplar=1&LAN=DE A1 Camacho, Jose A1 Wasielewska, Katarzyna A1 Espinosa, Pablo A1 Fuentes-Garcia, Marta YR 2023 SN 2374-9709 K1 Sensitivity K1 Data integrity K1 Measurement uncertainty K1 Training data K1 Machine learning K1 Benchmark testing K1 Data models K1 UGR'16 K1 anomaly detection K1 data quality SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/NOMS56928.2023.10154333 DO https://doi.org/10.1109/NOMS56928.2023.10154333 SF ELIB - SuUB Bremen
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