Feature Selection Using Fast Ensemble Learning for Network Intrusion Detection.
Ujjwal PasupuletyC. D. AdwaithSuraj HegdeNagamma PatilPublished in: ISDA (1) (2018)
Keyphrases
- ensemble learning
- network intrusion detection
- feature selection
- ensemble feature selection
- anomaly detection
- intrusion detection
- ensemble classifier
- generalization ability
- ensemble methods
- intrusion detection system
- fraud detection
- network traffic
- random forest
- text categorization
- feature space
- feature extraction
- text classification
- machine learning
- concept drift
- feature subset
- unlabeled data
- feature set
- multi class
- support vector machine
- support vector machine svm
- data mining
- support vector
- base classifiers
- k nearest neighbor
- dimensionality reduction
- information retrieval
- classification accuracy