ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets.
Xiaolei LiJiawei HanSangkyum KimHector GonzalezPublished in: SDM (2007)
Keyphrases
- anomaly detection
- data sets
- moving objects
- unsupervised anomaly detection
- intrusion detection
- detecting anomalies
- network traffic
- anomalous behavior
- behavior analysis
- network intrusion detection
- video sequences
- computer security
- network anomaly detection
- detection algorithm
- video surveillance
- one class support vector machines
- detecting anomalous
- intrusion detection system
- training data
- association rules
- network security
- real world
- optical flow
- background subtraction
- mobile users
- data analysis
- image sequences
- computer vision
- machine learning
- motion field
- unsupervised learning
- model selection
- input data
- feature extraction
- negative selection algorithm
- cumulative sum