人工智能-数据挖掘-数据挖掘在学生成绩分析中的应用研究.pdf

II

STUDY ON THE APPLICATION OF DATA MINING IN

ACADEMIC ACHIEVEMENTS ANALYSIS

Abstract

With the expansion of the scale of university, the number of students in colleges and

universities also showed a growing trend, and various colleges and universities have also

established their own teaching management system, such as school register management system,

the academic performance management system and so on. Though equipped with specialized

specialty construction and improvement of teaching quality.

In this paper, the data mining technology is applied to analyze academic achievements in our

college, then the result can be used as a guide to make decision. The main contents of this paper

are divided into the following aspects:

First, it studies the achievements and learning information of each course and obtains the

relevant initial data.

Second, it cleanses, integrates, transforms and loads the original data sources extracted from

the academic achievements data management system, then designs and establishes data warehouse

by using MS SQL Server 2008 R2 EE.

Third, this paper uses the association rules mining, clustering and classification methods to

III

analysis process about association rule mining, clustering rule mining and classification rule

mining methods. It focuses on applying data mining technology to analyze academic achievements,

taking advantage of the above three mining methods to analyze academic achievements sample of

a group of students, and then drawing the corresponding conclusions. Firstly, through the analysis

of the relevance between different course grades, some feasible suggestions can be provided for

the arrangement of curriculum order. Secondly, the lack of traditional classification method for

grades can be made up through the clustering analysis of course grades. Thirdly, by analyzing

the factors that affect the academic achievements, there will be an useful reference for improving

the course achievements as well as improving the teaching quality.

第一章 绪论 ......................................................................................... 1

第二章 相关概念与相关技术 .............................................................. 6

参考文献 ............................................................................................... 59

致 谢 ............................................................................................... 62