Little Help Makes a Big Difference: Leveraging Active Learning to Improve Unsupervised Time Series Anomaly Detection.
Hamza BodorThai V. HoangZonghua ZhangPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- active learning
- unsupervised anomaly detection
- unsupervised learning
- detect anomalies
- intrusion detection
- novelty detection
- anomalous behavior
- detecting anomalies
- semi supervised
- network intrusion detection
- network traffic
- supervised learning
- detecting anomalous
- machine learning
- behavior analysis
- computer security
- one class support vector machines
- intrusion detection system
- learning process
- network anomaly detection
- malware detection
- network intrusion
- similarity measure