ADES: A New Ensemble Diversity-Based Approach for Handling Concept Drift.
Tinofirei MusebaFulufhelo V. NelwamondoKhmaies OuahadaPublished in: Mob. Inf. Syst. (2021)
Keyphrases
- concept drift
- drifting concepts
- ensemble learning
- ensemble classifier
- concept drifting data streams
- classifier ensemble
- ensemble classification
- data streams
- drift detection
- streaming data
- noisy data streams
- classification algorithm
- non stationary
- concept drifting
- ensemble methods
- data distribution
- evolving data streams
- change detection
- incremental clustering
- batch learning
- data stream mining
- neural network
- benchmark datasets
- data stream classification
- stream data
- knn
- k nearest neighbor
- base classifiers
- data points
- multi dimensional
- random forest
- high dimensional
- training data
- data sets