Supervised Anomaly Detection in Crude Oil Stabilization.
Mattia SilvestriMichele LombardiEmiliano MucchiLuca CadeiGiovanna MagnagoMarco PiantanidaValentina D'OttavioNguyen Van TuSimona DumaSilvia TaddeiAnnagiulia TiozzoAndrea CorneoLorenzo LanciaLaura RocchiPietro Coffari di GilferraroPublished in: PAIS@ECAI (2022)
Keyphrases
- probabilistic model
- anomaly detection
- crude oil
- unsupervised learning
- intrusion detection
- network intrusion detection
- network traffic
- anomalous behavior
- oil field
- supervised learning
- detecting anomalies
- semi supervised
- network security
- unsupervised anomaly detection
- forecasting model
- long run
- one class support vector machines
- intrusion detection system
- detect anomalies
- learning algorithm
- network anomaly detection
- detecting anomalous
- model selection
- active learning
- feature space
- object recognition
- negative selection algorithm
- machine learning