Multi-Window Based Ensemble Learning for Classification of Imbalanced Streaming Data.
Ye WangHu LiHua WangBin ZhouYanchun ZhangPublished in: WISE (2) (2015)
Keyphrases
- ensemble learning
- concept drift
- streaming data
- class imbalance
- generalization ability
- ensemble classifier
- classification algorithm
- data streams
- pattern recognition
- support vector machine svm
- ensemble methods
- class distribution
- decision trees
- minority class
- supervised learning
- sliding window
- classification accuracy
- imbalanced data
- text classification
- data distribution
- machine learning
- feature selection
- feature extraction
- knn
- support vector machine
- benchmark datasets
- support vector
- bp neural network
- random forest
- image registration
- feature vectors
- pairwise
- feature space
- multi dimensional
- data structure
- k nearest neighbor
- unsupervised learning
- neural network