Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series.
Mahsun AltinAltan CakirPublished in: CoRR (2024)
Keyphrases
- anomaly detection
- multivariate time series
- dimensionality reduction
- dimension reduction
- intrusion detection
- unsupervised learning
- detecting anomalies
- multivariate time series data
- principal component analysis
- anomalous behavior
- network traffic
- low dimensional
- high dimensional data
- high dimensional
- temporal data
- intrusion detection system
- network intrusion detection
- high dimensionality
- temporal patterns
- one class support vector machines
- linear discriminant analysis
- pattern recognition
- autoregressive
- categorical data
- data points
- detect anomalies
- negative selection algorithm
- feature extraction
- normal behavior
- feature space
- data mining
- spatial structure
- singular value decomposition