Feature Selection Approach with Missing Values Conducted for Statistical Learning: A Case Study of Entrepreneurship Survival Dataset.
Diego C. NascimentoAnderson AraFrancisco Louzada-NetoPublished in: CoRR (2018)
Keyphrases
- statistical learning
- missing values
- feature selection
- model selection
- imputation methods
- missing data
- feature set
- data imputation
- information theory
- high dimensional data
- supervised learning
- incomplete data
- machine learning
- mutual information
- feature space
- informative features
- classification accuracy
- text classification
- feature extraction
- dimensionality reduction
- cross validation
- information gain
- low rank
- feature selection algorithms
- high dimensionality
- information theoretic
- support vector
- semi supervised learning
- missing attribute values
- neural network
- selected features
- data mining
- knn
- image processing
- manifold learning
- feature subset
- gene expression data
- database
- unsupervised learning
- text mining