TY  - JOUR
AU  - Iturria, Alaiñe
AU  - Labaien, Jokin
AU  - Charramendieta, Santi
AU  - Lojo, Aizea
AU  - Del Ser, Javier
AU  - Herrera, Francisco
PY  - 2022
DO  - 10.1016/j.knosys.2022.109823
SN  - 0950-7051
UR  - https://hdl.handle.net/11556/3447
AB  - This study introduces a novel framework that eases the adoption of any online prediction algorithm for outlier detection over time series data. The proposed framework comprises both streaming data normalization and online anomaly scoring and...
LA  - eng
TI  - A framework for adapting online prediction algorithms to outlier detection over time series
TY  - journal article
ER  -