Anomaly Detection in Vehicle Traffic Data Using Batch and Stream Supervised Learning.
David FaialFlávia Cristina BernardiniLeandro MirandaJosé ViterboPublished in: EPIA (1) (2019)
Keyphrases
- anomaly detection
- traffic data
- network traffic
- supervised learning
- intelligent transportation systems
- traffic conditions
- traffic information
- traffic congestion
- unsupervised learning
- streaming data
- intrusion detection
- intrusion detection system
- network security
- data streams
- detecting anomalies
- traffic flow
- network intrusion detection
- anomalous behavior
- semi supervised
- travel time
- training data
- machine learning
- active learning
- databases
- one class support vector machines
- training set
- reinforcement learning
- learning algorithm
- road network
- traffic patterns
- detect anomalies
- sequential patterns