Drift Detection for Multi-label Data Streams Based on Label Grouping and Entropy.
Zhongwei ShiYimin WenChao FengHai ZhaoPublished in: ICDM Workshops (2014)
Keyphrases
- multi label
- drift detection
- concept drift
- data streams
- multi label classification
- streaming data
- text categorization
- multi label learning
- image classification
- graph cuts
- multi instance
- binary classification
- text classification
- image annotation
- class labels
- data distribution
- multiple labels
- label space
- learning tasks
- change detection
- label assignment
- classification algorithm
- stream mining
- non stationary
- pairwise
- small number
- data sets
- multi class
- learning experience
- semi supervised learning
- text mining