MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection.
Sourav ChatterjeeRohan BopardikarMarius GuerardUttam ThakoreXiaodong JiangPublished in: CoRR (2022)
Keyphrases
- parameter tuning
- model selection
- anomaly detection
- detect anomalies
- unsupervised learning
- cross validation
- intrusion detection
- detecting anomalies
- network intrusion detection
- network traffic
- hyperparameters
- parameter estimation
- bayesian learning
- anomalous behavior
- intrusion detection system
- gaussian process
- one class support vector machines
- machine learning
- feature selection
- model selection criteria
- selection criterion
- data sets
- parameter settings
- bayesian information criterion
- network anomaly detection
- kernel matrix
- parameter values
- similarity measure