Dynamic integration of classifiers for handling concept drift.
Alexey TsymbalMykola PechenizkiyPadraig CunninghamSeppo PuuronenPublished in: Inf. Fusion (2008)
Keyphrases
- concept drift
- dynamic integration
- data stream classification
- ensemble classifier
- weighted voting
- ensemble learning
- classification algorithm
- drifting concepts
- data streams
- non stationary
- data fusion
- majority voting
- drift detection
- random forests
- data distribution
- fusion methods
- decision trees
- machine learning algorithms
- training data
- change detection
- naive bayes
- machine learning methods
- class labels
- feature selection
- support vector
- training set
- computer vision
- data sets
- topology preserving
- classifier ensemble
- support vector machine
- class imbalance
- svm classifier