Bayesian Anomaly Detection and Classification for Noisy Data.
Ethan RobertsBruce A. BassettMichelle LochnerPublished in: ISDA (2019)
Keyphrases
- anomaly detection
- noisy data
- intrusion detection
- unsupervised learning
- detecting anomalies
- anomalous behavior
- high dimensionality
- intrusion detection system
- machine learning
- network traffic
- unsupervised anomaly detection
- network intrusion detection
- decision trees
- missing data
- high dimensional
- one class support vector machines
- network anomaly detection
- missing values
- pattern recognition
- feature extraction
- detecting anomalous
- training data
- detect anomalies
- support vector
- model selection
- network security
- support vector machine
- input data
- feature space
- negative selection algorithm
- text classification