A least-squares approach to anomaly detection in static and sequential data.
John A. QuinnMasashi SugiyamaPublished in: Pattern Recognit. Lett. (2014)
Keyphrases
- data sources
- anomaly detection
- sequential data
- least squares
- hidden markov models
- intrusion detection
- databases
- fixed length
- sequence data
- detecting anomalies
- anomalous behavior
- network traffic
- network intrusion detection
- sequential pattern mining
- sequential patterns
- pattern discovery
- one class support vector machines
- intrusion detection system
- network anomaly detection
- data sets
- pattern mining
- cumulative sum
- unsupervised learning
- spatio temporal
- detect anomalies
- information retrieval
- real world
- face recognition
- image segmentation