SO_MAD: SensOr Mining for Anomaly Detection in Railway Data.
Julien RabatelSandra BringayPascal PonceletPublished in: ICDM (2009)
Keyphrases
- anomaly detection
- sensor data
- detect anomalies
- intrusion detection
- data sets
- data analysis
- knowledge discovery
- data mining techniques
- data mining methods
- data sources
- clustering analysis
- data mining applications
- data processing
- training data
- data mining
- intrusion detection system
- unsupervised learning
- computer systems
- streaming data
- network intrusion detection
- computer security
- high dimensional