A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory.
Liam CervanteBing XueLin ShangMengjie ZhangPublished in: EvoCOP (2013)
Keyphrases
- rough set theory
- multi objective
- feature selection
- rough sets
- binary pso
- particle swarm optimization pso
- optimization algorithm
- attribute reduction
- particle swarm optimization
- evolutionary algorithm
- decision table
- decision rules
- rule generation
- global search
- genetic algorithm
- tool for data mining
- feature extraction
- rough fuzzy
- text categorization
- knowledge reduction
- machine learning
- feature selection algorithms
- equivalence relation
- feature set
- objective function
- knowledge discovery
- granular computing
- fuzzy sets
- support vector
- rule extraction
- differential evolution
- global optimization
- rough set model
- data analysis
- concept lattice
- high dimensionality
- discernibility matrix
- neural network
- convergence speed
- feature subset
- pso algorithm
- metaheuristic
- computer vision
- feature space
- decision trees
- information entropy
- feature ranking
- support vector machine
- rough sets theory
- classification accuracy
- decision making