Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications.
Bing Quan HuangBrian BuckleyM. Tahar KechadiPublished in: Expert Syst. Appl. (2010)
Keyphrases
- multi objective
- nsga ii
- customer churn
- prediction model
- feature selection
- churn prediction
- multi objective optimization
- evolutionary algorithm
- multiobjective optimization
- multiobjective evolutionary algorithm
- pareto optimal
- optimization algorithm
- multi objective optimization problems
- objective function
- prediction accuracy
- particle swarm optimization
- bi objective
- pareto optimal solutions
- pareto dominance
- genetic algorithm
- customer relationship management
- evolutionary multiobjective
- multiple objectives
- multi objective optimisation
- multi objective evolutionary algorithms
- optimization problems
- test problems
- strength pareto evolutionary algorithm
- differential evolution
- optimal solution
- multi objective problems
- machine learning
- pareto frontier
- text classification
- feature subset
- optimum design
- classification accuracy
- multi criteria
- feature set
- credit risk
- model selection
- random forest
- rule induction
- pareto optimal set