Unsupervised concept drift detection for multi-label data streams.
Ege Berkay GulcanFazli CanPublished in: Artif. Intell. Rev. (2023)
Keyphrases
- concept drift
- multi label
- data streams
- change detection
- streaming data
- multi label classification
- text categorization
- drifting concepts
- sliding window
- graph cuts
- image annotation
- data stream classification
- data stream mining
- image classification
- drift detection
- non stationary
- classification algorithm
- stream data
- class labels
- learning tasks
- evolving data streams
- data distribution
- semi supervised
- supervised learning
- data sets
- text classification
- class imbalance
- computer vision
- pairwise
- clustering algorithm
- image processing
- incoming data
- high dimensional data
- image registration
- neural network