Feature Selection for SVM-Based Vascular Anomaly Detection.
Maria A. ZuluagaEdgar J. F. Delgado LeytonMarcela Hernández HoyosMaciej OrkiszPublished in: MCV (2010)
Keyphrases
- anomaly detection
- feature selection
- support vector machine
- support vector
- intrusion detection
- anomalous behavior
- unsupervised learning
- network anomaly detection
- network intrusion detection
- detecting anomalies
- sparse pca
- network traffic
- unsupervised anomaly detection
- behavior analysis
- intrusion detection system
- support vector machine svm
- one class support vector machines
- detecting anomalous
- network security
- novelty detection
- svm classifier
- feature extraction
- detect anomalies
- knn
- computer security
- text classification
- model selection
- multi class
- dimensionality reduction
- feature subset
- connectionist systems
- feature vectors
- training set
- neural network
- negative selection algorithm
- genetic algorithm
- cumulative sum
- machine learning