Dimensionality Reduction for Anomaly Detection in Electrocardiography: A Manifold Approach.
Zhinan LiWenyao XuAnpeng HuangMajid SarrafzadehPublished in: BSN (2012)
Keyphrases
- anomaly detection
- dimensionality reduction
- manifold learning
- low dimensional
- lower dimensional
- nonlinear dimensionality reduction
- high dimensional
- unsupervised learning
- locally linear embedding
- intrusion detection
- graph embedding
- feature space
- anomalous behavior
- high dimensional data
- principal component analysis
- feature extraction
- network traffic
- pattern recognition
- detecting anomalies
- computer security
- unsupervised anomaly detection
- one class support vector machines
- intrusion detection system
- network intrusion detection
- feature selection
- detecting anomalous
- negative selection algorithm
- network anomaly detection
- dimensionality reduction methods
- data points
- detect anomalies
- dimension reduction
- malware detection
- behavior analysis
- pairwise
- decision trees
- data sets