Active learning and subspace clustering for anomaly detection.
Karim PicharaAlvaro SotoPublished in: Intell. Data Anal. (2011)
Keyphrases
- anomaly detection
- subspace clustering
- active learning
- high dimensional data
- subspace clusters
- intrusion detection
- clustering method
- learning algorithm
- high dimensional
- network traffic
- anomalous behavior
- detecting anomalies
- clustering algorithm
- semi supervised
- network intrusion detection
- network anomaly detection
- one class support vector machines
- intrusion detection system
- machine learning
- unsupervised learning
- transfer learning
- negative selection algorithm
- detect anomalies
- training set
- supervised learning
- high dimensionality
- image data
- dimensionality reduction
- nearest neighbor