Sub-Space Clustering and Evidence Accumulation for Unsupervised Network Anomaly Detection.
Johan MazelPedro CasasPhilippe OwezarskiPublished in: TMA (2011)
Keyphrases
- network anomaly detection
- unsupervised learning
- anomaly detection
- self organizing maps
- unsupervised clustering
- supervised classification
- k means
- unsupervised classification
- clustering method
- clustering algorithm
- network intrusion detection
- supervised learning
- data points
- information bottleneck
- cluster validation
- data clustering
- low dimensional
- electronic commerce
- information theoretic
- unsupervised feature selection
- change detection