Little Help Makes a Big Difference: Leveraging Active Learning to Improve Unsupervised Time Series Anomaly Detection.
Hamza BodorThai V. HoangZonghua ZhangPublished in: ICSOC Workshops (2021)
Keyphrases
- anomaly detection
- active learning
- unsupervised anomaly detection
- intrusion detection
- novelty detection
- unsupervised learning
- semi supervised
- detect anomalies
- anomalous behavior
- detecting anomalies
- network traffic
- network intrusion detection
- detecting anomalous
- one class support vector machines
- intrusion detection system
- network anomaly detection
- computer security
- malware detection
- supervised learning
- behavior analysis
- network security
- object recognition
- training data
- decision trees
- network intrusion
- clustering algorithm
- learning process
- data sets
- neural network