Preprocessing vague imbalanced datasets and its use in genetic fuzzy classifiers.
Ana M. PalaciosLuciano SánchezInés CousoPublished in: FUZZ-IEEE (2010)
Keyphrases
- imbalanced datasets
- preprocessing
- imbalanced data
- decision trees
- rare class
- minority class
- feature selection algorithms
- class distribution
- learning from imbalanced data
- cost sensitive learning
- class imbalance
- training data
- feature selection
- sampling methods
- machine learning algorithms
- test set
- support vector
- training set
- ensemble methods
- naive bayes
- svm classifier
- feature set
- training dataset
- feature extraction
- support vector machine
- training examples
- ensemble learning
- classification algorithm
- meta learning
- linear classifiers
- high dimensional data
- fraud detection
- nearest neighbour
- probability estimation
- random forest
- linear regression
- feature subset
- machine learning methods
- face recognition
- learning algorithm