A new rule-based knowledge extraction approach for imbalanced datasets.
Aouatef MahaniAhmed Riadh Baba-AliPublished in: Knowl. Inf. Syst. (2019)
Keyphrases
- knowledge extraction
- imbalanced datasets
- cost sensitive learning
- learning from imbalanced data
- class distribution
- class imbalance
- decision trees
- imbalanced data
- data mining
- sampling methods
- knowledge discovery
- ensemble methods
- training dataset
- cost sensitive
- feature selection algorithms
- minority class
- data sets
- information retrieval
- databases
- misclassification costs
- machine learning
- database
- random forest
- feature extraction