Sparsity-based Feature Selection for Anomalous Subgroup Discovery.
Girmaw Abebe TadesseWilliam OgalloCatherine WanjiruCharles WachiraIsaiah Onando Mulang'Vibha AnandAisha Walcott-BryantSkyler SpeakmanPublished in: CoRR (2022)
Keyphrases
- subgroup discovery
- feature selection
- contrast set mining
- rule learning
- exceptional model mining
- anomaly detection
- pattern mining
- text categorization
- classification rules
- data mining
- actionable knowledge
- interesting patterns
- pattern discovery
- inductive logic programming
- numerical attributes
- multi class
- text classification
- rule discovery
- high dimensional
- data mining tasks
- support vector
- association rule mining
- feature extraction
- feature space
- support vector machine
- knn
- active learning
- fraud detection
- naive bayes
- data sets
- genetic programming
- social networks
- classification accuracy