Precision and Recall for Range-Based Anomaly Detection.
Tae Jun LeeJustin GottschlichNesime TatbulEric MetcalfStan ZdonikPublished in: CoRR (2018)
Keyphrases
- precision and recall
- anomaly detection
- intrusion detection
- information extraction
- detecting anomalies
- anomalous behavior
- network intrusion detection
- network traffic
- evaluation metrics
- network anomaly detection
- behavior analysis
- unsupervised anomaly detection
- network security
- computer security
- detecting anomalous
- intrusion detection system
- highest precision
- malware detection
- unsupervised learning
- detect anomalies
- one class support vector machines
- network intrusion
- object recognition
- maximum entropy
- active learning
- negative selection algorithm
- real world