• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2012, Vol. 34 ›› Issue (1): 119-123.

• 论文 • 上一篇    下一篇

关联规则在独立学院招生决策中的应用

俸世洲1,2,周尚波1   

  1. (1.重庆大学计算机学院,重庆 400030;2.重庆师范大学涉外商贸学院,重庆 401520)
  • 收稿日期:2010-12-10 修回日期:2011-03-12 出版日期:2012-01-25 发布日期:2012-01-25
  • 基金资助:

    211工程三期建设(S-10218)

Application of Association Rules in the Enrollment Decision of Independent Colleges

FENG Shizhou1,2,ZHOU Shangbo1   

  1. (1.School of Computer Science,Chongqing University,Chongqing 400030;
    2.School of Foreign Trade and Business,Chongqing Normal University,Chongqing 401520,China)
  • Received:2010-12-10 Revised:2011-03-12 Online:2012-01-25 Published:2012-01-25

摘要:

关联规则(Association Rule)是数据挖掘领域中一个重要的研究课题,广泛应用于各个领域,既可以检验行业内长期形成的知识模式,也能够发现隐藏的新规律。本文利用关联规则对独立学院招生信息进行分析,建立独立学院招生决策模型。首先选取考生高考志愿表中的专业信息,然后利用关联规则进行挖掘,最后对挖掘出的规则进行分析和应用。实验结果表明,利用关联规则对考生高考志愿信息进行挖掘是可行的、有效的,它为独立学院编制招生计划和制定招生宣传方案提供了一种新的参考依据,在独立学院招生领域具有较好的应用前景。

关键词: 数据挖掘, 关联规则, 招生

Abstract:

Association rule is an important research topic in data mining, which has been widely used in various fields. Association rule can be used to test the knowledge model and discover new laws. In this paper we put forward a tentative idea that we can use association rule to analyse enrollment information and construct enrollment decision of independent colleges. First, select the major information in the college entrance examination volunteer table; then, use association rule to perform data mining; Finally, analyse and apply the rules. Experimental results show that association rule is feasible and effective in mining the enrollment information. It can provide a new reference basis for making a list of enrollment plan and school enrolment advertisement of independent colleges, which has potential application prospect in the field of enrollment for independent colleges.

Key words: data mining;association rule;enrollment