Anomaly Detection for Urban Vehicle GNSS Observation with a Hybrid Machine Learning System.
Yan XiaShuguo PanXiaolin MengWang GaoFei YeQing ZhaoXingwang ZhaoPublished in: Remote. Sens. (2020)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- anomalous behavior
- network traffic
- detecting anomalies
- network intrusion detection
- traffic congestion
- network security
- computer security
- unsupervised learning
- intrusion detection system
- detecting anomalous
- computational intelligence
- unsupervised anomaly detection
- computer vision
- malware detection
- information extraction
- data mining
- one class support vector machines
- learning algorithm
- supervised learning
- behavior analysis
- data analysis
- network intrusion
- natural language processing
- navigation systems
- urban areas
- reinforcement learning
- detect anomalies
- connectionist systems
- text mining