A Low-Granularity Classifier for Data Streams with Concept Drifts and Biased Class Distribution.
Peng WangHaixun WangXiaochen WuWei WangBaile ShiPublished in: IEEE Trans. Knowl. Data Eng. (2007)
Keyphrases
- concept drift
- class distribution
- data streams
- ensemble classifier
- classification algorithm
- ensemble learning
- streaming data
- highly skewed
- class imbalance
- minority class
- mining data streams
- stream data
- evolving data streams
- change detection
- sliding window
- data stream mining
- data distribution
- training set
- data stream classification
- class labels
- non stationary
- training data
- training samples
- decision trees
- feature selection
- stream mining
- classifier ensemble
- feature space
- data sets
- support vector machine
- support vector
- feature set
- k nearest neighbor
- cost sensitive
- frequent itemsets