Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach.
Bing XueLiam CervanteLin ShangWill N. BrowneMengjie ZhangPublished in: Int. J. Comput. Intell. Appl. (2014)
Keyphrases
- rough set theory
- multi objective
- feature selection
- rough sets
- particle swarm optimization pso
- binary pso
- optimization algorithm
- evolutionary algorithm
- attribute reduction
- particle swarm optimization
- decision table
- decision rules
- tool for data mining
- rule generation
- objective function
- rule extraction
- knowledge reduction
- rough fuzzy
- text categorization
- feature set
- information entropy
- equivalence relation
- granular computing
- data analysis
- feature extraction
- data reduction
- attribute set
- support vector
- feature selection algorithms
- genetic algorithm
- discernibility matrix
- concept lattice
- dimensionality reduction
- knowledge discovery
- model selection
- pso algorithm
- artificial intelligence
- information retrieval
- attribute reduction algorithm
- feature space
- feature ranking
- real world
- data mining
- convergence speed
- classification models
- feature subset
- microarray data
- genetic algorithm ga
- neural network
- image processing
- simulated annealing
- support vector machine
- pattern recognition