An Improved Ensemble Based Machine Learning Technique for Efficient Malware Classification.
Farwa Maqbool HussainFarhan Hassan KhanPublished in: INTAP (2019)
Keyphrases
- machine learning
- pattern recognition
- feature selection
- supervised learning
- machine learning algorithms
- machine learning methods
- text classification
- support vector machine
- decision trees
- supervised machine learning
- training set
- classification accuracy
- final classification
- feature vectors
- machine learning approaches
- learning algorithm
- classification method
- data mining
- classification rules
- classification systems
- neural network
- active learning
- support vector
- classifier ensemble
- supervised classification
- classification scheme
- random forests
- random forest
- feature space
- classification algorithm
- class labels
- unsupervised learning
- model selection
- information extraction
- multiple classifier systems
- decision tree classifiers
- ensemble classification
- imbalanced data
- weak learners
- multiple classifiers
- increase classification accuracy
- majority voting
- classification models
- learning tasks
- semi supervised learning
- image classification
- source code
- feature set
- natural language processing
- training data
- computer vision