Multidimensional Feature Selection and Interaction Mining with Decision Tree Based Ensemble Methods.
Lukasz KrolJoanna PolanskaPublished in: PACBB (2017)
Keyphrases
- ensemble methods
- feature selection
- feature subset
- ensemble feature selection
- ensemble learning
- prediction accuracy
- ensemble classification
- random forests
- imbalanced data
- ensemble classifier
- base classifiers
- decision trees
- machine learning methods
- benchmark datasets
- drifting concepts
- text categorization
- data mining
- bootstrap sampling
- random forest
- classification accuracy
- majority voting
- machine learning
- generalization ability
- classifier ensemble
- base learners
- multi class
- feature space
- model selection
- knn
- feature extraction
- decision tree ensembles
- data sets
- feature selection algorithms
- classification models
- genetic algorithm ga
- naive bayes
- data streams
- support vector
- machine learning algorithms
- text classification
- feature set
- genetic algorithm
- neural network