Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach.
António Gaspar-CunhaFernando MendesJoão M. M. DuarteArmando VieiraBernardete RibeiroAndré RibeiroJoão Carvalho das NevesPublished in: Int. J. Nat. Comput. Res. (2010)
Keyphrases
- multi objective optimization
- bankruptcy prediction
- feature selection
- multi objective
- evolutionary algorithm
- financial data
- financial ratios
- genetic algorithm
- text categorization
- learning vector quantization
- differential evolution
- pareto optimal
- bi objective
- literature review
- credit card
- text classification
- nsga ii
- multiple criteria linear programming
- classification accuracy
- multi class
- multi objective optimization problems
- model selection
- multiple objectives
- optimization algorithm
- machine learning
- pareto optimal set
- multi objective genetic algorithm
- feature set
- multiobjective optimization
- genetic programming
- feature space
- feature extraction
- case study
- optimization problems
- feature subset selection
- support vector machine
- feature subset
- intrusion detection
- multi objective genetic algorithms
- self organizing maps
- naive bayes