An Incremental Feature Selection Approach Based on Information Entropy for Incomplete Data.
Chuan LuoTianrui LiZhang YiPublished in: DASC/PiCom/DataCom/CyberSciTech (2019)
Keyphrases
- information entropy
- incomplete data
- feature selection
- irrelevant attributes
- bayes classifier
- learning bayesian networks
- missing values
- missing data
- bayesian networks
- rough sets
- em algorithm
- incomplete data sets
- text categorization
- rough set theory
- decision table
- feature subset
- feature set
- hyperparameters
- machine learning
- attribute values
- support vector machine
- text classification
- feature space
- support vector
- feature selection algorithms
- databases
- dimensionality reduction
- multi class
- image processing
- feature ranking
- genetic programming
- model selection
- knn
- image data
- feature extraction
- decision making
- real world