Research And Application Of Poor Students Evaluation And Analysis System Based On Data Mining

With the enrollment expansion and the continuous rising of higher vocational fees in recent years,the problems of needy college students have become increasingly prominent.Therefore the government has introduced a series of support policies for needy college students.During the implementation process,the management of personal information has become an urgent problem while facing a large number of needy students.There are no uniform standards for the definition of needy students,and a large amount of information was not conducive to standardized management,which made the support for needy students very tedious,resulting in a lot of waste of human resources and data resources.In view of this situation,based on the content of the information management in a higher vocational,and the existing information management system,this paper mainly does the following work:Firstly,we give an introduction of data mining technology,and choose Apriori algorithm for data mining in the association rules.Secondly,considering the difficulties of information management for needy students in our university(for example,the large amount of data,teachers of college's Youth League Committee evaluation results could not be guaranteed,the evaluation criteria were not uniform),and the existing student information management situation,we design a needy students evaluation system to solve the existing assessment difficulties.Last,Apriori algorithm is used for mining the information of needy students to identify the association rules and dig out the relevance and regularity in the data.The validity is evaluated in the end.This study designs and realizes the evaluation and analysis system of needy students.It applies Aprior algorithm in the evaluation of needy students.While improving the information management of needy students,it also analyzes the association rules of data,so as to provide a more scientific,fair and transparent basis.