Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data.
Girmaw Abebe TadesseWilliam OgalloCelia CintasSkyler SpeakmanPublished in: Big Data (2022)
Keyphrases
- model free
- automatic discovery
- tabular data
- feature selection
- reinforcement learning
- controlled tabular adjustment
- cell suppression
- function approximation
- web services
- machine learning
- text categorization
- semantic web services
- text classification
- feature space
- mutual information
- support vector
- model selection
- feature extraction
- linear combination
- support vector machine
- differential privacy
- similarity measure
- database