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