A fast malware feature selection approach using a hybrid of multi-linear and stepwise binary logistic regression.
Md. Shamsul HudaJemal H. AbawajyMali AbdollahianMd. Rafiqul IslamJohn YearwoodPublished in: Concurr. Comput. Pract. Exp. (2017)
Keyphrases
- logistic regression
- feature selection
- linear svm
- support vector
- linear support vector machines
- naive bayes
- fold cross validation
- forward selection
- decision trees
- credit scoring
- predictive power
- chi square
- text categorization
- text classification
- nonlinear models
- loss function
- odds ratio
- logistic regression models
- feature ranking
- machine learning
- logistic model
- data sets
- classification trees
- information gain
- breast cancer
- multi class
- feature extraction
- unsupervised learning
- mutual information
- classification and regression trees
- feature space
- bayesian networks
- feature subset
- feature set