Real Time Anomaly detection-Based QoE Feature selection and Ensemble Learning for HTTP Video Services.
Tasnim AbarAsma Ben LetaifaSadok El AsmiPublished in: ICTA (2019)
Keyphrases
- anomaly detection
- ensemble learning
- feature selection
- intrusion detection
- generalization ability
- ensemble methods
- detecting anomalies
- ensemble classifier
- unsupervised learning
- anomalous behavior
- random forest
- network traffic
- intrusion detection system
- one class support vector machines
- video sequences
- detect anomalies
- base classifiers
- concept drift
- sparse pca
- text categorization
- text classification
- support vector
- feature set
- support vector machine
- multiple models
- quality of service
- prediction accuracy
- unlabeled data
- classification accuracy
- pattern recognition
- similarity measure
- feature extraction
- decision trees
- machine learning