Implementing a network intrusion detection system using semi-supervised support vector machine and random forest.
Sandeep ShahPramita Sree MuhuriXiaohong YuanKaushik RoyProsenjit ChatterjeePublished in: ACM Southeast Conference (2021)
Keyphrases
- random forest
- semi supervised
- support vector machine
- svm classifier
- random forests
- decision trees
- feature importance
- feature set
- fold cross validation
- ensemble classifier
- semi supervised learning
- feature selection
- multi class
- support vector
- ensemble methods
- multi label
- labeled data
- machine learning
- pairwise
- unlabeled data
- decision tree learning algorithms
- kernel function
- feature space
- support vector machine svm
- unsupervised learning
- ensemble learning
- feature vectors
- supervised learning
- generalization ability
- training data
- rotation forest
- test set
- k nearest neighbor
- active learning
- data mining
- data sets