A two-stage feature selection approach using hybrid elitist self-adaptive cat and mouse based optimization algorithm for document classification.
Thirumoorthy KarpagalingamJ. Jerold John BrittoPublished in: Expert Syst. Appl. (2024)
Keyphrases
- optimization algorithm
- document classification
- text categorization
- feature selection
- multi objective
- text classification
- hybrid optimization algorithm
- nsga ii
- control parameters
- evolutionary algorithm
- optimization method
- text documents
- multiobjective optimization
- classification algorithm
- differential evolution
- web documents
- knn
- text mining
- particle swarm optimization pso
- machine learning
- evolutionary multi objective
- feature set
- artificial bee colony
- naive bayes
- objective function
- support vector
- multi objective optimization
- particle swarm optimization
- feature extraction
- training data
- data analysis
- data sets
- clustering algorithm
- decision trees
- labeled data
- feature vectors
- classification accuracy
- support vector machine
- metaheuristic
- image classification
- unlabeled data