An ensemble method for data stream classification in the presence of concept drift.
Omid AbbaszadehAli AmiriAli Reza KhanteymooriPublished in: Frontiers Inf. Technol. Electron. Eng. (2015)
Keyphrases
- concept drift
- data stream classification
- drifting concepts
- ensemble methods
- ensemble learning
- ensemble classifier
- data streams
- non stationary
- streaming data
- data stream mining
- drift detection
- benchmark datasets
- data distribution
- decision trees
- change detection
- classification algorithm
- machine learning methods
- random forests
- stream data
- computer vision
- random forest
- base classifiers
- sliding window
- nearest neighbor