A Graph Embedding Approach to User Behavior Anomaly Detection.
Alexander ModellJonathan LarsonMelissa TurcotteAnna BertigerPublished in: IEEE BigData (2021)
Keyphrases
- user behavior
- anomaly detection
- graph embedding
- discriminant analysis
- low dimensional
- intrusion detection
- semi supervised
- dimensionality reduction
- data representation
- detecting anomalies
- user interaction
- user preferences
- user interests
- subspace learning
- unsupervised learning
- high dimensional
- pattern recognition
- multi dimensional
- intrusion detection system
- label information
- training data
- detect anomalies
- data distribution
- labeled data
- active learning
- data structure