Comparative study between incremental and ensemble learning on data streams: Case study.
Wenyu ZangPeng ZhangChuan ZhouLi GuoPublished in: J. Big Data (2014)
Keyphrases
- comparative study
- ensemble learning
- data streams
- case study
- concept drift
- sliding window
- streaming data
- generalization ability
- ensemble methods
- ensemble classifier
- stream data
- unlabeled data
- change detection
- concept drifting
- random forest
- data distribution
- data sets
- feature selection
- weak learners
- base classifiers
- training set
- training data
- mutual subspace method
- classification algorithm
- training samples
- expert systems