A Classification Algorithm Based on Ensemble Feature Selections for Imbalanced-Class Dataset.
Hua YinKeke GaiZhijian WangPublished in: BigDataSecurity/HPSC/IDS (2016)
Keyphrases
- classification algorithm
- class labels
- feature selections
- training set
- feature set
- classifier ensemble
- learning algorithm
- knn
- k nearest neighbor
- accurate classification
- classification rules
- base learners
- minority class
- naive bayes
- multi label
- imbalanced data
- training phase
- binary classification problems
- classification method
- base classifiers
- class distribution
- support vector machine
- random forest
- benchmark datasets
- concept drift
- text categorization
- data sets
- feature selection
- multi class classification
- ensemble learning
- neural network
- labeled data
- feature extraction
- clustering algorithm
- image processing