【作者】 李阳；

【导师】 高英； 何秀玲；

【作者基本信息】 华南理工大学 ， 工程硕士（专业学位）， 2017， 硕士

【摘要】 随着近年来高等教育的扩招,高职院校收费的持续上涨,高校贫困生问题日益突显,甚至一度成为社会关注的焦点。为此,国家出台了一系列的贫困生扶持政策。在实施过程中发现,面对数量庞大的贫困生,其个人信息的管理成了亟待解决的问题。对贫困生的界定没有统一的标准,贫困生信息量大,无法规范管理,使贫困生信息管理工作显得繁琐而低效,并造成大量的人力资源和数据资源的浪费。针对这一现状,结合本人从事某高校信息管理的工作内容,在现有信息管理系统的基础上,本文主要做了以下工作:首先,本文介绍了数据挖掘技术的概论,并选择关联规则的Apriori算法进行数据挖掘。其次,本文基于本校贫困生信息管理的困难,结合学生信息管理的现状,设计了高效贫困生评价分析系统,通过贫困生信息管理、贫困生困难程度评价、误判申诉等功能模块,解决现有的贫困生评价的工作难点。最后,本文运用Apriori算法对贫困生信息进行数据挖掘,寻找数据中的关联规则,并对规则的有效性进行验证,以辅助高校贫困生评价工作的开展。本课题设计和实现了高校贫困生评价分析系统,其将数据挖掘的Aprior算法应用于贫困生评价工作,在完善贫困生信息管理的同时,分析数据的关联规则,为高校的贫困生评价工作提供了更科学、可靠的评判标准。更多还原

【Abstract】 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.更多还原