A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection.
Uchechukwu F. NjokuAlberto AbellóBesim BilalliGianluca BontempiPublished in: DOLAP (2024)
Keyphrases
- feature selection
- data science
- machine learning
- big data
- statistical learning
- feature extraction
- text classification
- text categorization
- irrelevant features
- mutual information
- selected features
- feature space
- feature selection algorithms
- real world
- learning algorithm
- prediction accuracy
- model selection
- decision support system
- dimensionality reduction
- multi class
- data analysis
- support vector
- decision making