Concept Drift and Anomaly Detection in Graph Streams.
Daniele ZambonCesare AlippiLorenzo LiviPublished in: CoRR (2017)
Keyphrases
- anomaly detection
- streaming data
- concept drift
- data streams
- novelty detection
- network anomaly detection
- detecting anomalies
- intrusion detection
- network intrusion detection
- anomalous behavior
- non stationary
- network traffic
- sliding window
- change detection
- negative selection algorithm
- intrusion detection system
- data distribution
- detect anomalies
- unsupervised learning
- data sets
- classification algorithm
- image analysis
- one class support vector machines
- information extraction
- active learning
- face recognition
- computer vision