Optimal feature selection for classification using rough set-based CGA-NN classifier.
S. Gilbert NancyS. AppavuPublished in: Int. J. Bus. Intell. Data Min. (2016)
Keyphrases
- feature selection
- feature subset
- classification accuracy
- feature space
- support vector
- feature set
- binary decision tree
- classification models
- support vector machine
- genetic algorithm ga
- classification method
- classification scheme
- text classification
- knn
- higher classification accuracy
- feature reduction
- input features
- feature selection algorithms
- classification performances
- bayes classifier
- nearest neighbor classifier
- feature extraction
- classification algorithm
- classification process
- bayesian classifier
- nearest neighbour
- decision trees
- class labels
- hierarchical classification
- nearest neighbor
- neural network
- classification rate
- fold cross validation
- feature ranking
- accurate classification
- rough sets
- small sample
- genetic algorithm
- irrelevant features
- instance selection
- training samples
- redundant features
- multi category
- training set
- machine learning
- training process
- multi layer perceptron
- artificial neural networks
- high dimensionality
- multi class
- support vector machine svm
- ensemble classifier
- sequential forward selection
- neyman pearson
- text categorization
- learning vector quantization
- svm classifier
- feature weighting
- model selection
- evolutionary algorithm
- decision boundary
- classifier combination
- individual classifiers
- multiple classifier systems
- cross validation
- rough set theory
- ensemble learning
- receiver operating characteristic curves
- feature selection and classifier
- pattern recognition