Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms.
Jacinto CarrascoDavid LópezIgnacio Aguilera-MartosDiego García-GilIrina MarkovaMarta García-BárzanaManuel Arias-RodilJulián LuengoFrancisco HerreraPublished in: Neurocomputing (2021)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- evaluation framework
- intrusion detection
- one class support vector machines
- anomalous behavior
- semi supervised
- intrusion detection system
- detecting anomalies
- network traffic
- network anomaly detection
- learning algorithm
- unsupervised learning
- evaluation measures
- evaluation metrics
- network intrusion detection
- negative selection algorithm
- evaluation methodology
- evaluation process
- benchmark datasets
- principal component analysis
- active learning
- decision trees
- neural network