Decision tree rule-based feature selection for large-scale imbalanced data.
Haoyue LiuMengChu ZhouPublished in: WOCC (2017)
Keyphrases
- imbalanced data
- decision trees
- feature selection
- classification models
- random forest
- ensemble methods
- learning from imbalanced data
- information gain
- naive bayes
- logistic regression
- class distribution
- linear regression
- machine learning
- class imbalance
- text categorization
- random forests
- feature set
- ensemble learning
- feature space
- machine learning algorithms
- base classifiers
- decision rules
- model selection
- ensemble classifier
- training set
- high dimensionality
- training data
- classification accuracy
- support vector
- multi task
- classification algorithm
- feature selection algorithms
- sampling methods