Imbalanced Training Set Reduction and Feature Selection Through Genetic Optimization.
Ricardo BarandelaJ. K. HernándezJosé Salvador SánchezFrancesc J. FerriPublished in: CCIA (2005)
Keyphrases
- genetic optimization
- training set
- feature selection
- classification accuracy
- evolutionary optimization
- class distribution
- feature space
- class imbalance
- information granulation
- training data
- imbalanced data
- test set
- fuzzy rules
- training samples
- support vector machine
- data sets
- active learning
- genetic algorithm
- machine learning
- classification algorithm
- minority class
- feature selection algorithms
- fuzzy modeling
- feature extraction
- multi objective
- decision trees
- membership functions
- artificial intelligence
- support vector
- feature subset
- decision making
- cross validation
- knowledge discovery
- neural network