数据挖掘在高校教务管理系统的应用
The application of data mining in college educational administration management system
摘要：高校的教务管理工作，一直是高校管理的重中之重，目前很多高校为了缓解教务工作繁重的矛盾，部署相应的教务管理系统以实现教务管理的信息自动化。目前的教务管理系统很多是停留在信息管理的层面，主要的操作是数据的录入和查询操作。这个层面的系统对于事务性数据处理效率很高，但是当需要处理大量的系统数据时就显得捉襟见肘了。因此，充分利用数据挖掘技术，将现有的教务管理系统进行优化和升级，使得原本只长于事务处理的系统同时长于系统数据的归纳和总结，并形成决策指导下一步的教务工作，具有很好的研究意义和应用价值。
Abstract: college educational administration work, always is the key of the management of colleges and universities, many colleges and universities in order to relieve the contradictions of educational administration work of heavy, deploying corresponding educational administration management system in order to realize the educational administration information automation. The current educational administration management system mostly stay in the level of information management, the main operation is the data input and query operations. The level of the system for transactional data processing efficiency is very high, but when the need to deal with a large number of system data is too limited. Therefore, make full use of the data mining technology, the existing teaching management system to optimize and upgrade, make originally expressing only the transaction system at the same time than the induction and summary of the system data, and form a decision-making guide next step of educational work, has the very good research significance and application value. 文库分享网（www.Wkfxw.com），全免费下载
本文针对基于数据挖掘技术的高校教务管理系统展开研究。在综述了教务管理系统研究现状、数据挖掘相关理论及算法的基础上，设计了教务管理系统的功能架构和数据库。系统采用了C/S与B/S相混合的结构模式，有效的利用了两种模式的优点。论文以学生成绩为例阐述了数据挖掘在高校教务管理系统中应用，利用在校学生成绩分布的规律性，建立课程成绩的分类模型，通过三次成绩数据的分析挖掘出学生对课程及每个知识点的掌握情况，从而为后续的教学工作提供指导和决策，提高教学质量和授课效果。
In this paper the university educational administration management system based on data mining technology. In the educational administration system research status are reviewed in this paper, based on the theory and algorithm of data mining, design the function of educational administration system structure and database. System USES the C/S and B/S mixed mode of structure, effective use of the advantages of the two modes. Papers in student achievement, for example this paper expounds the application of data mining in the university educational administration management system, using the distribution regularity of student performance in school, establish classification model of the class grade, and through the analysis of three grades data excavate students grasp of the course and each situation, thus providing guidance for subsequent teaching and decision-making, improve the teaching quality and teaching effect.

关键词：数据挖掘；高校教务；信息管理
Key words: data mining; College educational administration; Information management