Multi Sampling Random Subspace Ensemble for Imbalanced Data Stream Classification.
Jakub KlikowskiMichal WozniakPublished in: CORES (2019)
Keyphrases
- random subspace
- random sampling
- data stream classification
- random forest
- random subspaces
- classifier fusion
- ensemble methods
- subspace methods
- concept drift
- ensemble learning
- active learning
- sample size
- class imbalance
- majority voting
- data streams
- nearest neighbor classifiers
- incremental learning
- data stream mining
- random forests
- ensemble classifier
- sliding window
- base classifiers
- classifier ensemble
- data mining
- neural network
- decision trees
- class distribution
- streaming data
- face recognition
- classification algorithm
- svm classifier
- feature subspace
- feature set
- nearest neighbor
- support vector machine
- feature selection
- data analysis
- support vector