DEA-Discriminant Analysis on Regional Knowledge Management Based on Data Mining Technology in China

Fully utilizing the structural data and nonstructural data in the age of informationization and obtaining the efficient information using data mining technique to direct the decision making in regional management have become more important in China. Discriminant analysis is a typical data mining method. In the view of knowledge management in different regions, discriminant analysis based on DEA model was studied in this paper. DEA-discriminant analysis can classify all samples into two groups by two stages linear programming model. Because of the diversity on inputs and outputs data of regional knowledge development, 30 provinces were totally classified into two classes by DEA discriminant analysis. The results of DEA-discriminant analysis can provide useful information to government and decision makers for macro-management of regional economy in China.