Rough set theory-based feature selection and FGA-NN classifier for medical data classification.
Vijayalakshmi BalasubramanianSugumar RajendranPublished in: Int. J. Bus. Intell. Data Min. (2019)
Keyphrases
- rough set theory
- medical data
- feature selection
- feature reduction
- rough sets
- decision rules
- feature set
- support vector machine
- rule generation
- feature space
- classification accuracy
- support vector
- classification method
- classification models
- rule extraction
- attribute reduction
- knn
- data mining
- decision table
- feature subset
- feature selection algorithms
- svm classifier
- rough fuzzy
- nearest neighbor
- neural network
- classification algorithm
- text categorization
- decision trees
- training set
- text classification
- medical images
- rule induction
- feature ranking
- feature extraction
- fold cross validation
- knowledge reduction
- data analysis
- feature subset selection
- k nearest neighbor
- machine learning
- data reduction
- tool for data mining
- multi layer perceptron
- random forest
- naive bayes
- variable precision rough set model
- knowledge discovery
- artificial neural networks
- discernibility matrix
- support vector machine svm
- information entropy
- training data
- rule sets
- high dimensionality
- class labels
- training samples
- feature vectors
- selected features
- microarray data
- pattern recognition
- genetic algorithm ga
- fuzzy sets
- condition attributes
- soft set
- fuzzy logic
- decision making