Rectifying inaccurate unsupervised learning for robust time series anomaly detection.
Zejian ChenZuoyong LiXinwei ChenXiaobo ChenHaoyi FanRong HuPublished in: Inf. Sci. (2024)
Keyphrases
- pattern recognition
- anomaly detection
- unsupervised learning
- dimensionality reduction
- detect anomalies
- machine learning
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- neural network
- unsupervised anomaly detection
- supervised learning
- behavior analysis
- computer security
- self organizing maps
- model selection
- object recognition
- intrusion detection system
- network anomaly detection
- one class support vector machines
- detecting anomalous
- data assimilation
- network traffic
- network security
- malware detection
- high dimensional
- bayesian networks
- cumulative sum
- data mining