Time Series Anomaly Detection with label-free Model Selection.
Deokwoo JungNandini RamananMehrnaz AmjadiSankeerth Rao KaringulaJake TaylorClaudionor Nunes Coelho Jr.Published in: CoRR (2021)
Keyphrases
- model selection
- anomaly detection
- detect anomalies
- unsupervised learning
- cross validation
- intrusion detection
- hyperparameters
- detecting anomalies
- bayesian learning
- anomalous behavior
- network intrusion detection
- statistical learning
- network traffic
- intrusion detection system
- multi label
- gaussian process
- model selection criteria
- network anomaly detection
- marginal likelihood
- negative selection algorithm
- feature selection
- one class support vector machines
- information criterion
- selection criterion
- machine learning
- normal behavior
- feature extraction
- object recognition
- image segmentation
- automatic model selection