Boosting decision stumps for dynamic feature selection on data streams.
Jean Paul BarddalFabrício EnembreckHeitor Murilo GomesAlbert BifetBernhard PfahringerPublished in: Inf. Syst. (2019)
Keyphrases
- decision stumps
- feature selection
- data streams
- decision forest
- ensemble classifier
- kernel machines
- ensemble learning
- learning algorithm
- weak classifiers
- selection algorithm
- imbalanced data
- concept drift
- generalization bounds
- base classifiers
- decision trees
- logistic regression
- data sets
- ensemble methods
- text categorization
- machine learning
- meta learning
- base learners
- model selection
- support vector
- feature extraction