A Novel Semi-supervised IoT Time Series Anomaly Detection Model Using Graph Structure Learning.
Weijian SongPeng ChenJuan ChenYunni XiaXi LiQinghui XiHongxia HePublished in: CollaborateCom (2) (2023)
Keyphrases
- anomaly detection
- structure learning
- semi supervised
- unsupervised anomaly detection
- graphical models
- intrusion detection
- one class support vector machines
- intrusion detection system
- probability distribution
- bayesian networks
- anomalous behavior
- support vector machine
- probabilistic model
- parameter learning
- machine learning
- parameter estimation
- network structure
- active learning
- negative selection algorithm
- training data