A PSO algorithm for multi-objective cost-sensitive attribute reduction on numeric data with error ranges.
Yu FangZhong-Hui LiuFan MinPublished in: Soft Comput. (2017)
Keyphrases
- cost sensitive
- multi objective
- particle swarm optimization
- pso algorithm
- numeric data
- attribute reduction
- rough sets
- rough set theory
- optimization algorithm
- categorical data
- evolutionary algorithm
- global optimization
- particle swarm optimization pso
- decision table
- multi class
- concept lattice
- active learning
- genetic algorithm
- error rate
- metaheuristic
- differential evolution
- naive bayes
- data reduction
- objective function
- ant colony optimization
- decision rules
- pattern recognition
- decision trees
- data mining
- data sets
- unsupervised learning
- cluster analysis
- genetic programming
- fuzzy logic
- pairwise
- support vector
- bayesian networks
- real world