A visual-numeric approach to clustering and anomaly detection for trajectory data.
Dheeraj KumarJames C. BezdekSutharshan RajasegararChristopher LeckieMarimuthu PalaniswamiPublished in: Vis. Comput. (2017)
Keyphrases
- anomaly detection
- trajectory data
- intrusion detection
- detecting anomalies
- unsupervised learning
- clustering analysis
- anomalous behavior
- network traffic
- intrusion detection system
- network intrusion detection
- road network
- network anomaly detection
- detecting anomalous
- moving object trajectories
- visual information
- moving objects
- one class support vector machines
- clustering algorithm
- spatial data
- negative selection algorithm
- temporal information
- space time
- visual features
- low level
- mobility data
- k means
- network security
- self organizing maps
- active learning
- machine learning