Anomaly Detection in High-Dimensional Data.
Priyanga Dilini TalagalaRob J. HyndmanKate Smith-MilesPublished in: J. Comput. Graph. Stat. (2021)
Keyphrases
- high dimensional data
- anomaly detection
- high dimensional
- dimensionality reduction
- intrusion detection
- data sets
- nearest neighbor
- anomalous behavior
- subspace clustering
- low dimensional
- detecting anomalies
- network intrusion detection
- data analysis
- data points
- similarity search
- dimension reduction
- high dimensional spaces
- intrusion detection system
- network traffic
- data distribution
- lower dimensional
- subspace learning
- manifold learning
- unsupervised learning
- high dimensional datasets
- input data
- detect anomalies
- network anomaly detection
- negative selection algorithm
- feature selection
- one class support vector machines
- misuse detection
- clustering high dimensional data
- maximum likelihood
- database