Unsupervised context-sensitive anomaly detection on streaming data relying on multi-view profiling.
Fabian FingerhutMathias VerbekeElena TsiporkovaPublished in: EAIS (2024)
Keyphrases
- multi view
- streaming data
- context sensitive
- anomaly detection
- semi supervised
- unsupervised learning
- intrusion detection
- d objects
- three dimensional
- network traffic
- language model
- supervised learning
- intrusion detection system
- machine learning
- pairwise
- semi supervised learning
- natural language
- training data
- information retrieval
- unlabeled data
- training set
- support vector
- concept drift