Anomaly Detection in High Dimensional Data.
Priyanga Dilini TalagalaRob J. HyndmanKate Smith-MilesPublished in: CoRR (2019)
Keyphrases
- high dimensional data
- anomaly detection
- dimensionality reduction
- nearest neighbor
- low dimensional
- intrusion detection
- data points
- detecting anomalies
- high dimensional
- data distribution
- similarity search
- anomalous behavior
- network traffic
- subspace clustering
- intrusion detection system
- network anomaly detection
- manifold learning
- unsupervised learning
- data sets
- network intrusion detection
- data analysis
- dimension reduction
- clustering high dimensional data
- lower dimensional
- high dimensional spaces
- detect anomalies
- one class support vector machines
- negative selection algorithm
- input data
- high dimensional datasets
- learning algorithm
- multi dimensional
- probabilistic model
- pattern recognition
- training data