Concept Drift and Anomaly Detection in Graph Streams.
Daniele ZambonCesare AlippiLorenzo LiviPublished in: IEEE Trans. Neural Networks Learn. Syst. (2018)
Keyphrases
- anomaly detection
- concept drift
- streaming data
- data streams
- novelty detection
- intrusion detection
- network anomaly detection
- anomalous behavior
- detecting anomalies
- intrusion detection system
- sliding window
- classification algorithm
- network intrusion detection
- network traffic
- data distribution
- detect anomalies
- non stationary
- change detection
- one class support vector machines
- stream clustering
- feature extraction
- model selection
- multi dimensional
- text mining
- pattern recognition