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Comparison of feature selection approaches based on the SVM classification
2008
2008 IEEE International Conference on Industrial Engineering and Engineering Management
The credit scoring has been regarded as a critical topic. Creating an effective classificatory model will objectively help managers instead of intuitive experience. This study proposed four strategies combining with the SVM (support vector machine) classifier for features selection that retains sufficient information for classification purpose. Different features preprocessing steps were constructed with four strategies of conventional Linear discriminate analysis (LDA), Decision tree, Rough
doi:10.1109/ieem.2008.4737899
fatcat:f7j4ashapbbnbb4r6hoj46tdtq