Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification.
Lin SunTianxiang WangWeiping DingJiucheng XuYaojin LinPublished in: Inf. Sci. (2021)
Keyphrases
- rough sets
- multilabel classification
- feature selection
- text categorization
- multi label
- instance based learning
- rule induction
- rough set theory
- lazy learning
- decision rules
- text classification
- logistic regression
- fuzzy sets
- instance selection
- ensemble methods
- multi label classification
- data mining
- naive bayes
- pattern recognition
- fuzzy logic
- machine learning
- data analysis
- feature space
- nearest neighbor
- support vector machine
- support vector
- feature subset
- feature set
- data sets
- classification accuracy
- neural network
- dimensionality reduction
- feature extraction
- inductive learning
- genetic algorithm
- learning algorithm
- image classification
- unsupervised learning
- model selection