Dynamically updated diversified ensemble-based approach for handling concept drift.
Kanu GoelShalini BatraPublished in: Turkish J. Electr. Eng. Comput. Sci. (2020)
Keyphrases
- concept drift
- dynamically updated
- ensemble learning
- drifting concepts
- ensemble classifier
- concept drifting data streams
- data streams
- ensemble classification
- streaming data
- drift detection
- noisy data streams
- non stationary
- concept drifting
- incremental clustering
- change detection
- evolving data streams
- data distribution
- data stream classification
- classification algorithm
- ensemble methods
- data stream mining
- training set
- batch learning
- neural network
- classifier ensemble
- training data
- random forests
- sliding window
- multi dimensional
- image processing
- computer vision
- learning algorithm