Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers.
Leticia DeckerDaniel F. LeiteFabio ViolaDaniele BonacorsiPublished in: EAIS (2020)
Keyphrases
- anomaly detection
- one class support vector machines
- anomalous behavior
- intrusion detection
- connectionist systems
- detecting anomalies
- network traffic
- computer security
- intrusion detection system
- network intrusion detection
- network security
- unsupervised anomaly detection
- behavior analysis
- network anomaly detection
- unsupervised learning
- detect anomalies
- decision trees
- training set
- support vector
- training data
- machine learning