Balanced random forest for imbalanced data streams.
A. Murat YagciTevfik AytekinFikret S. GürgenPublished in: SIU (2016)
Keyphrases
- random forest
- data streams
- learning from imbalanced data
- imbalanced data
- imbalanced class distribution
- random forests
- sliding window
- decision trees
- imbalanced datasets
- concept drift
- ensemble methods
- feature set
- data sets
- data distribution
- ensemble learning
- change detection
- feature importance
- class imbalance
- fold cross validation
- class distribution
- base classifiers
- rotation forest
- decision tree learning algorithms
- classification algorithm
- higher order
- image features
- multi label