Feature Selection via Minimal Covering Sets for Industrial Internet of Things Applications.
Ioannis T. ChristouJohn SoldatosThanassis PapadakisDaniel Gutierrez-RojasPedro H. J. NardelliPublished in: DCOSS-IoT (2023)
Keyphrases
- feature selection
- minimal subsets
- machine learning
- text categorization
- mutual information
- feature space
- irrelevant features
- feature weighting
- industrial applications
- feature selection algorithms
- support vector
- mobile devices
- upper approximation
- unsupervised feature selection
- text classification
- decision trees
- neural network
- bayesian networks
- mobile computing
- key technologies
- information gain
- microarray data
- model selection
- feature extraction
- multi class
- high dimensional