Semi-Random Forest Based on Representative Patterns for Noisy and Non-Stationary Data Stream.
Bencai ZhangHua-Rui WuYange SunRonghua GaoPublished in: DSC (2019)
Keyphrases
- non stationary
- random forest
- concept drift
- data streams
- random forests
- decision trees
- temporal evolution
- feature set
- sliding window
- ensemble methods
- ensemble learning
- adaptive algorithms
- empirical mode decomposition
- change detection
- multi label
- multiscale
- pattern mining
- blind source separation
- data distribution
- test set
- ensemble classifier
- prediction accuracy
- change point detection
- decision tree learning algorithms