Multi-Label Streaming Feature Selection via Class-Imbalance Aware Rough Set.
Yizhang ZouXuegang HuPeipei LiJunlong LiPublished in: IJCNN (2021)
Keyphrases
- class imbalance
- rough sets
- multi label
- feature selection
- text categorization
- text classification
- cost sensitive
- rough set theory
- class distribution
- high dimensionality
- binary classification
- image classification
- data mining
- decision rules
- class labels
- random forest
- data analysis
- active learning
- data streams
- graph cuts
- naive bayes
- rule extraction
- feature extraction
- concept drift
- dimensionality reduction
- pattern recognition
- classification accuracy
- feature selection algorithms
- feature space
- machine learning
- feature ranking
- data sets
- information retrieval
- training data
- feature set
- high dimensional
- unsupervised learning