Multi-label feature selection based on information entropy fusion in multi-source decision system.
Wenbin QianSudan YuJun YangYinglong WangJihao ZhangPublished in: Evol. Intell. (2020)
Keyphrases
- multi label
- multi source
- information entropy
- text categorization
- data fusion
- feature selection
- information fusion
- text classification
- multi label classification
- rough sets
- decision rules
- image classification
- decision making
- decision table
- graph cuts
- knn
- machine learning
- multiple sources
- rough set theory
- attribute values
- k nearest neighbor
- class labels
- feature extraction
- support vector machine
- data integration
- decision makers
- attribute reduction
- semi supervised learning
- multi class
- image processing
- data sets
- classification accuracy
- data sources
- data analysis
- pattern recognition
- data mining
- naive bayes
- feature set
- natural language processing
- feature space
- real world
- neural network
- databases