On Data Mining Technology to the Quantitative Efficiency Assessment using SBM Model: An Empirical Study on Education Efficiency in Jiangxi Province

Data mining technology has been widely used in various applications. Important information could be discoveried by data mining technology. In the education efficiency analysis, it is essential to use data mining technology to analyze histrical data. However, little work has been done to the quantitative analysis on education efficiency. To address this issue, this paper applies the slacks based measure (SBM Model) to objectively assess the input-output eficiency of education efficiency in Jiangxi province, China. In the design of the input-output data of the SBM model, this paper employed the Fuzzy principal component analysis (Fuzzy PCA) to analyze historical data sets in an itteligent manner. Three input indexes and three output indexes have been chosen by the Fuzzy PCA. The empirical analysis finds that the change of relative education efficiency in Jiangxi from 2000 to 2012 falls into 5 stages – being relatively efficient; relative efficiency decrease; relative efficiency increase; relative efficiency decrease and being relatively efficient. The analysis results show that the changes of national policies and economy have great influence on the education efficiency in Jiangxi. For the first time, this paper puts forward useful suggestions to maitain education efficiency in Jiangxi, which could provide valuable reference for similar studies over the country.