Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression.
Weiming HuJun GaoBing LiOu WuJunping DuStephen J. MaybankPublished in: IEEE Trans. Knowl. Data Eng. (2020)
Keyphrases
- anomaly detection
- kernel density estimation
- density estimation
- intrusion detection
- mean shift
- detecting anomalies
- object segmentation
- probability density function
- network traffic
- density function
- network intrusion detection
- anomalous behavior
- intrusion detection system
- probability density
- higher dimensional
- network anomaly detection
- model selection
- one class support vector machines
- unsupervised learning
- data mining
- negative selection algorithm
- outlier detection
- action recognition
- principal component analysis
- semi supervised
- knowledge discovery
- active learning
- feature space
- training data