Minimizing and Recovering from the Effect of Concept Drift via Feature Selection.
Daegun WonPeter J. JansenJaime G. CarbonellPublished in: ECAI (2020)
Keyphrases
- concept drift
- feature selection
- data streams
- graph classification
- streaming data
- ensemble classifier
- drift detection
- data stream classification
- novelty detection
- incremental clustering
- data stream mining
- drifting concepts
- non stationary
- text categorization
- classification algorithm
- data distribution
- change detection
- evolving data streams
- machine learning
- batch learning
- feature extraction
- concept descriptions
- support vector machine
- support vector
- sliding window
- unsupervised learning
- k nearest neighbor