Incremental Stream Clustering for Anomaly Detection and Classification.
Anders HolstJan EkmanPublished in: SCAI (2011)
Keyphrases
- anomaly detection
- intrusion detection
- network intrusion detection
- unsupervised learning
- anomalous behavior
- detecting anomalies
- decision trees
- intrusion detection system
- support vector machine
- classification accuracy
- pattern recognition
- network anomaly detection
- detect anomalies
- network traffic
- feature extraction
- supervised learning
- one class support vector machines
- machine learning
- feature selection
- feature space
- class labels
- model selection
- face recognition
- negative selection algorithm
- streaming data
- text classification
- feature vectors
- training set
- evolving data streams
- support vector