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1 Ergebnisse
1
Human-Interpretable Rules for Anomaly Detection in Time-ser..:
Ben Kraiem, Inès
;
Ghozzi, Faiza
;
Péninou, André
..
info:eu-repo/semantics/altIdentifier/doi/10.5441/002/edbt.2021.51. , 2021
Link:
https://ut3-toulouseinp.hal.science/hal-03205628
RT Journal T1
Human-Interpretable Rules for Anomaly Detection in Time-series ; Règles interprétables par l'homme pour la détection d'anomalies dans les séries temporelles
UL https://suche.suub.uni-bremen.de/peid=base-ftunivtoulouse2:oai:HAL:hal-03205628v1&Exemplar=1&LAN=DE A1 Ben Kraiem, Inès A1 Ghozzi, Faiza A1 Péninou, André A1 Roman-Jimenez, Geoffrey A1 Teste, Olivier PB HAL CCSD; OpenProceedings.org YR 2021 K1 [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB] K1 [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] K1 [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering K1 [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG] JF info:eu-repo/semantics/altIdentifier/doi/10.5441/002/edbt.2021.51 LK http://dx.doi.org/https://ut3-toulouseinp.hal.science/hal-03205628 DO https://ut3-toulouseinp.hal.science/hal-03205628 SF ELIB - SuUB Bremen
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