Improving Imbalanced Classification by Anomaly Detection.
Jiawen KongWojtek KowalczykStefan MenzelThomas BäckPublished in: PPSN (1) (2020)
Keyphrases
- anomaly detection
- intrusion detection
- anomalous behavior
- detecting anomalies
- novelty detection
- intrusion detection system
- unsupervised learning
- network intrusion detection
- class imbalance
- network anomaly detection
- behavior analysis
- pattern classification
- network traffic
- pattern recognition
- machine learning
- computer security
- computer systems
- feature vectors
- detect anomalies
- connectionist systems
- unsupervised anomaly detection
- feature space
- self organizing maps
- support vector machine
- support vector
- one class support vector machines
- feature extraction
- detecting anomalous
- neural network
- data sets