Subgroup Anomaly Detection using High-confidence Rules: Application to Healthcare Data.
Juan L. Domínguez-OlmedoJacinto MataVictoria PachónManuel J. Maña LópezPublished in: HEALTHINF (2019)
Keyphrases
- high confidence
- anomaly detection
- data sets
- intrusion detection
- data analysis
- data processing
- data points
- small number
- anomalous behavior
- network intrusion detection
- network anomaly detection
- network intrusion
- normal behavior
- network traffic
- data mining algorithms
- computer systems
- learning process
- training data
- information systems
- machine learning