Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms.
Jacinto CarrascoIrina MarkovaDavid LópezIgnacio AguileraDiego GarcíaMarta García-BárzanaManuel Arias-RodilJulián LuengoFrancisco HerreraPublished in: CoRR (2021)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- evaluation framework
- intrusion detection
- one class support vector machines
- semi supervised
- network intrusion detection
- network traffic
- detecting anomalies
- evaluation metrics
- anomalous behavior
- intrusion detection system
- detect anomalies
- neural network
- evaluation methodology
- evaluation measures
- software engineering
- object recognition
- network anomaly detection
- negative selection algorithm
- knowledge discovery
- support vector