Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations.
Victoria LópezAlberto FernándezMaría José del JesusFrancisco HerreraPublished in: ICPRAM (2) (2012)
Keyphrases
- cost sensitive
- imbalanced data sets
- class distribution
- class imbalance
- cost sensitive classification
- cost sensitive learning
- multi class
- misclassification costs
- binary classification
- active learning
- fraud detection
- minority class
- naive bayes
- support vector machine
- imbalanced data
- roc curve
- feature extraction
- benchmark data sets
- classification accuracy
- training data
- high dimensionality
- data sets
- decision rules
- dimensionality reduction
- supervised learning
- decision trees
- machine learning