An ensemble multi-label feature selection algorithm based on information entropy.
ShiNing LiZhenhai ZhangJiaqi DuanPublished in: Int. Arab J. Inf. Technol. (2014)
Keyphrases
- information entropy
- multi label
- feature selection algorithms
- feature selection
- text categorization
- random forest
- text classification
- multi label classification
- rough sets
- feature ranking
- graph cuts
- decision table
- image classification
- learning tasks
- feature set
- rough set theory
- ensemble learning
- feature subset
- ensemble methods
- class labels
- data sets
- attribute values
- support vector
- selection algorithm
- classification accuracy
- naive bayes
- machine learning
- knn
- feature space
- information retrieval
- neural network
- learning algorithm
- cost sensitive
- learning models
- text mining
- dimensionality reduction
- pattern recognition
- feature extraction