A new feature selection IDS based on genetic algorithm and SVM.
Hossein GharaeeHamid HosseinvandPublished in: IST (2016)
Keyphrases
- feature selection
- genetic algorithm
- support vector
- ls svm
- ls svms
- support vector machine
- knn
- support vector machine svm
- fitness function
- mutual information
- multi class
- selected features
- text categorization
- intrusion detection system
- feature ranking
- text classification
- input features
- bayes classifier
- intrusion detection
- classification accuracy
- multi objective
- feature space
- svm classification
- machine learning
- neural network
- dimensionality reduction
- feature set
- support vectors
- parameter optimization
- small sample
- artificial neural networks
- feature selection algorithms
- svm rfe
- classification performances
- feature subset
- classification models
- linear svm
- imbalanced data
- feature extraction
- text classifiers
- genetic programming
- genetic algorithm ga
- naive bayes
- high dimension
- kernel function
- radial basis function neural network
- fold cross validation
- model selection
- gene selection
- optimization method
- microarray data
- training data
- feature vectors
- decision trees
- differential evolution
- radial basis function
- high dimensionality