数据挖掘在教学评估中的应用

【作者】 傅莉；

【导师】 王树梅； 朱永高；

【作者基本信息】 南京理工大学 ， 计算机技术， 2007， 硕士

【摘要】 数据挖掘是目前信息领域和数据库技术的前沿研究课题,关联规则技术是数据挖掘的最重要的组成部分之一,它用于发现大量数据中项集之间的有意义的关联和相关联系。本文旨在研究如何将数据挖掘技术与教学评估相结合,从大量数据中提取出隐藏在数据之中的有用的信息。论文首先介绍了数据挖掘的定义及主要的数据挖掘技术,并给出数据挖掘的体系结构和运行过程。接着详细描述了关联规则挖掘的基本理论和经典关联规则挖掘算法Apriori算法,包括了规则生成的算法。其次,设计与阐述了评估系统的总体结构与功能,并对公共登录模块、数据采集模块、教师综合评估模块和统计查询模块进行了详细设计。最后,探讨了教学质量评估数据挖掘系统的实现方法,给出了基于SQLServer的两种数据挖掘的解决方案。本文给出了教学评估数据挖掘系统的软件框架,并使用相关数据进行了关联规则算法的实验,对结果进行了初步分析。所得出的结论对高校教学评估和教学工作都具有一定的指导意义。更多还原

【Abstract】 Data Mining is a frontier area in information and database technology, Association rule technology is one of the most important components of Data Mining and it can be used in detecting the meaningful relevance and associations between the item sets of mass data.This paper aims at studying the way of combining data mining technology with teaching appraisal and the way of looking for useful information hiding behind the data from the large amounts of data.In this paper firstly introduced the definition and several typical technologies of data mining, then gives its faculty structure and run course. Secondly mainly describe basic theory of association rule mining and classical mining algorithm Apriori including the algorithm of generate rules, then analyze the efficiency of algorithm Apriori. Secondly,the paper designs and elaborates the overall structure and the function of evaluation system,and designs the public registered module, the data acquisition module, the teacher overall assessment module and the statistical inquiry module in detail. Finally, this text inquires into the teaching quality evaluation data mining system and gives two kinds of solution based on the SQL Server. This text gives out the software frame of the system on teaching quality evaluation data mining, and uses correlated data to carry on the experiment of the association rule mining algorithm, and carries on its first step analysis on its results.The results obtained are valuable for collegeteaching evaluation.更多还原