Weighted Incremental-Decremental Support Vector Machines for concept drift with shifting window.
Honorius GâlmeanuRazvan AndoniePublished in: Neural Networks (2022)
Keyphrases
- concept drift
- sliding window
- data streams
- incremental clustering
- support vector
- batch learning
- learning machines
- large margin classifiers
- ensemble learning
- streaming data
- drifting concepts
- drift detection
- evolving data streams
- change detection
- data distribution
- non stationary
- classification algorithm
- target concept
- data stream mining
- data stream classification
- incremental learning
- generalization ability
- ensemble classifier
- classification accuracy
- feature selection
- k nearest neighbor
- support vector machine
- data sets
- data structure