Feature selection to diagnose a business crisis by using a real GA-based support vector machine: An empirical study.
Liang-Hsuan ChenHuey-Der HsiaoPublished in: Expert Syst. Appl. (2008)
Keyphrases
- feature selection
- support vector machine
- multi class
- support vector
- small sample
- machine learning
- support vector machine svm
- feature extraction
- svm classifier
- model selection
- text categorization
- business processes
- business intelligence
- decision making
- genetic algorithm
- real world
- kernel function
- crisis management
- microarray data
- irrelevant features
- k nearest neighbor
- knowledge management
- knn
- classification accuracy
- data mining
- information systems
- mutual information
- training set
- training data
- hyperplane
- data sets
- image classification
- enterprise architecture
- feature ranking
- ensemble classifier
- web services
- radial basis function
- high dimensional