Online learning for streaming data classification in nonstationary environments.
Yujie GaiKang MengXiaodi WangPublished in: Stat. Anal. Data Min. (2024)
Keyphrases
- non stationary
- concept drift
- streaming data
- online learning
- classification algorithm
- data streams
- concept drifting data streams
- classification accuracy
- evolving data streams
- pattern recognition
- adaptive algorithms
- drift detection
- data stream mining
- decision trees
- text classification
- supervised learning
- support vector
- bayesian networks
- data distribution
- fractional brownian motion
- generalization ability
- incoming data
- data sets
- random fields
- training data
- feature space
- sliding window
- semi supervised learning
- feature vectors