Research on the Poverty Student Aid Evaluation Model Based on Campus Card Data Mining
Aiming at the problems existing in the evaluation of poor students in colleges and universities,this paper combines the traditional evaluation method of poor students with data mining and proposes an accurate evaluation method of poor students in colleges and universities.The method uses the K-means algorithm to data mine and analyze the consumption data of campus one card students,substitutes the analysis results and traditional evaluation indexes into the accurate evaluation model of poor students,and calculates the final evaluation results.The experimental results show that compared with the traditional method,the evaluation results of this method are more accurate and reasonable,it can provide an important basis for the evaluation of poor students in colleges and universities in China and ensure the fairness of the identification of poor students.
consumption datadata miningpoor studentsevaluation model
NETL
NSTL
万方数据
