Heat-RL: Online Model Selection for Streaming Time-Series Anomaly Detection.
Yujing WangLuoxing XiongMingliang ZhangHui XueQi ChenYaming YangYunhai TongCongrui HuangBixiong XuPublished in: CoLLAs (2022)
Keyphrases
- model selection
- anomaly detection
- streaming time series
- unsupervised learning
- cross validation
- streaming data
- intrusion detection
- bayesian learning
- one class support vector machines
- detecting anomalies
- anomalous behavior
- network traffic
- network intrusion detection
- reinforcement learning
- machine learning
- selection criterion
- negative selection algorithm
- model selection criteria
- similarity search
- detect anomalies
- intrusion detection system
- feature selection
- databases
- incremental clustering
- clustering method
- preprocessing