A cluster and label approach for classifying imbalanced data streams in the presence of scarcely labelled data.
Kiran BhowmickMeera NarvekarPublished in: Int. J. Bus. Intell. Data Min. (2022)
Keyphrases
- labelled data
- data streams
- concept drift
- unlabelled data
- class imbalance
- streaming data
- class distribution
- sliding window
- data sets
- training data
- sensor networks
- clustering algorithm
- stream data
- data distribution
- multi label
- hierarchical text classification
- change detection
- bayesian networks
- evolving data streams
- classification algorithm
- hierarchical classification
- clustering method
- data points