Dealing with Imbalanced Data in Multi-class Network Intrusion Detection Systems Using XGBoost.
Malik Al-EssaAnnalisa AppicePublished in: PKDD/ECML Workshops (2) (2021)
Keyphrases
- multi class
- imbalanced data
- support vector machine
- base classifiers
- feature selection
- class distribution
- cost sensitive
- multi class classification
- linear regression
- binary classification
- decision trees
- pairwise
- class imbalance
- ensemble methods
- svm classifier
- feature vectors
- sampling methods
- random forest
- knn
- linear classifiers
- support vector
- ensemble learning
- hyperplane
- kernel function
- intrusion detection
- misclassification costs
- base learners
- machine learning