TY  - JOUR 
AU  - López García, David
AU  - Aguilera Martos, Ignacio
AU  - Herrera Triguero, Francisco
AU  - García Gil, Diego Jesús
AU  - Luengo Martín, Julián
PY  - 2023
UR  - https://hdl.handle.net/10481/84967
AB  - Anomaly detection aims to identify observations that differ significantly from the majority of the data. Time series, which are data with a temporal component, is often used for anomaly detection. Identifying anomalies is not perfect and may produce...
LA  - eng
PB  - Elsevier
KW  - Anomaly detection
KW  - Outlier detection
KW  - False positive mitigation
KW  - Deep learning
KW  - Multivariate time series
KW  - Predictive maintenance
TI  - Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series
DO  - 10.1016/j.inffus.2023.101957
ER  -