Attribute Selection for Partially Labeled Categorical Data By Rough Set Approach.
Jianhua DaiQinghua HuJinghong ZhangHu HuNenggan ZhengPublished in: IEEE Trans. Cybern. (2017)
Keyphrases
- attribute selection
- categorical data
- partially labeled
- attribute values
- semi supervised
- text classification
- semi supervised learning
- cluster analysis
- decision trees
- decision tree induction
- naive bayes
- rough sets
- unlabeled data
- feature selection
- information gain
- machine learning
- labeled data
- unsupervised learning
- active learning
- classification rules
- pattern recognition
- genetic programming
- supervised learning
- classification models
- reinforcement learning
- feature extraction
- real world