An intelligent undersampling technique based upon intuitionistic fuzzy sets to alleviate class imbalance problem of classification with noisy environment.
Prabhjot KaurAnjana GosainPublished in: Int. J. Intell. Eng. Informatics (2018)
Keyphrases
- class imbalance
- noisy environments
- class distribution
- active learning
- cost sensitive
- cost sensitive learning
- intuitionistic fuzzy sets
- majority class
- imbalanced datasets
- high dimensionality
- minority class
- concept drift
- feature selection
- sampling methods
- multi class
- pattern recognition
- imbalanced data
- imbalanced data sets
- classification algorithm
- semi supervised
- fuzzy logic
- support vector machine
- data streams
- similarity measure
- feature extraction
- image processing
- data mining