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