CASOS: a subspace method for anomaly detection in high dimensional astronomical databases.
Marc HenrionDavid J. HandAxel GandyDaniel J. MortlockPublished in: Stat. Anal. Data Min. (2013)
Keyphrases
- anomaly detection
- subspace methods
- high dimensional
- intrusion detection
- anomalous behavior
- detecting anomalies
- lower dimensional
- network traffic
- network intrusion detection
- linear discriminant analysis
- intrusion detection system
- dimensionality reduction
- low dimensional
- detect anomalies
- high dimensional data
- one class support vector machines
- negative selection algorithm
- ensemble methods
- unsupervised learning
- principal component analysis
- data points
- data mining
- neural network
- feature extraction
- image sequences
- machine learning