Towards Efficient Malware Detection and Classification using Multilayered Random Forest Ensemble Technique.
S. Abijah RoselineA. D. SasisriS. GeethaC. BalasubramanianPublished in: ICCST (2019)
Keyphrases
- random forest
- decision trees
- random subspace
- random forests
- fold cross validation
- malware detection
- feature set
- ensemble classifier
- ensemble methods
- ensemble learning
- decision tree learning algorithms
- base classifiers
- feature space
- feature selection
- multi label
- classification accuracy
- support vector
- majority voting
- benchmark datasets
- machine learning
- classification algorithm
- machine learning methods
- text classification
- rotation forest
- prediction accuracy
- machine learning algorithms
- classification models
- feature extraction
- training samples
- training set
- supervised learning
- feature vectors
- unsupervised learning
- individual classifiers
- semi supervised
- data mining
- support vector machine svm
- logistic regression
- class labels