Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring.
Anastasios BellasCharles BouveyronMarie CottrellJérôme LacaillePublished in: WSOM (2014)
Keyphrases
- anomaly detection
- confidence intervals
- health monitoring
- self organizing maps
- monitoring system
- sensor data
- unsupervised learning
- smart environments
- intrusion detection
- sample size
- power supply
- daily life
- anomalous behavior
- network traffic
- detecting anomalies
- markov chain
- network intrusion detection
- k means
- smart home
- detect anomalies
- neural network
- intrusion detection system
- test set
- monte carlo
- roc curve
- one class support vector machines
- input data
- high dimensional
- supervised learning
- feature vectors
- data mining
- human activities