Hybrid Subspace Mixture Models for Prediction and Anomaly Detection in High Dimensions.
Jenn-Bing OngWee Keong NgPublished in: ADMA (2017)
Keyphrases
- anomaly detection
- mixture model
- high dimensions
- high dimensional data
- unsupervised learning
- high dimensional
- intrusion detection
- dimensionality reduction
- gaussian mixture model
- em algorithm
- probabilistic model
- subspace analysis
- generative model
- anomalous behavior
- expectation maximization
- network intrusion detection
- network traffic
- low dimensional
- language model
- nearest neighbor
- intrusion detection system
- high dimensional spaces
- model selection
- data analysis
- network anomaly detection
- detecting anomalies
- feature space
- data sets
- maximum likelihood
- negative selection algorithm
- subspace projections
- detect anomalies
- high dimensionality
- one class support vector machines
- input data
- computer vision