Student Management Information System Based on Data mining

Xinwen Li
{"title":"Student Management Information System Based on Data mining","authors":"Xinwen Li","doi":"10.1109/FAIML57028.2022.00024","DOIUrl":null,"url":null,"abstract":"Colleges and universities are places for cultivating talents for the society. How to build a high-quality and high-culture college student team has become the focus of student management in colleges and universities. The basis of managing students lies in the full understanding and understanding of students, although the current college student information system records the information of enrolled students, but there are many drawbacks such as a large number of data, a simple management platform and a lack of intuitive embodiment, in order to solve this problem, give full play to the advantages of massive student information, and provide more meaningful decision-making basis for managers. Based on the data mining algorithm, this paper designs and researches the student management information system. This paper first describes the background significance of the student management information system and the current research status of the system, and builds the system framework according to the related technologies of Data mining algorithms. After the system is completed, the system is debugged. The debugging results can accurately reflect the feasibility of the system.","PeriodicalId":307172,"journal":{"name":"2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML)","volume":"305 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FAIML57028.2022.00024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Colleges and universities are places for cultivating talents for the society. How to build a high-quality and high-culture college student team has become the focus of student management in colleges and universities. The basis of managing students lies in the full understanding and understanding of students, although the current college student information system records the information of enrolled students, but there are many drawbacks such as a large number of data, a simple management platform and a lack of intuitive embodiment, in order to solve this problem, give full play to the advantages of massive student information, and provide more meaningful decision-making basis for managers. Based on the data mining algorithm, this paper designs and researches the student management information system. This paper first describes the background significance of the student management information system and the current research status of the system, and builds the system framework according to the related technologies of Data mining algorithms. After the system is completed, the system is debugged. The debugging results can accurately reflect the feasibility of the system.
基于数据挖掘的学生管理信息系统
高校是为社会培养人才的场所。如何建设一支高素质、高文化的大学生队伍,已成为高校学生管理工作的重点。管理学生的基础在于对学生的充分了解和认识,目前的高校学生信息系统虽然记录了在校学生的信息,但存在数据量大、管理平台简单、缺乏直观体现等诸多弊端,为了解决这一问题,充分发挥海量学生信息的优势,为管理者提供更有意义的决策依据。基于数据挖掘算法,对学生管理信息系统进行了设计和研究。本文首先介绍了学生管理信息系统的背景意义和系统的研究现状,并根据数据挖掘算法的相关技术构建了系统框架。系统完成后,对系统进行调试。调试结果能准确反映系统的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信