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关联规则在课程相关性模式中的研究与应用 被引量:11

Research and Application of Association Rules in the Relative Courses
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摘要 学分制已成为高等学校教学管理制度发展趋势。在学分制体系下,如何进行教学管理和学生培养成为高校建设的主要问题。本文将Apriori算法应用于高校教务管理信息系统,对学生成绩数据进行分析,探讨了高等学校专业课程间相关性问题,得到了一些合理、可靠的课程关联规则。解释和验证了关联规则结果,针对产生的大量规则引入兴趣度分析,剔除了用户不感兴趣的关联规则,从而为学分制体系下的学生选课提供指导。 Credit management system has become a trend in Higher Education. Under the credit system, teaching administration and student development have become the major problem. This paper applies the Apriori algorithm to the Educational Administration system, analyzes students" score, discusses the relativity of courses, concludes some reasonable, dependable association roles between courses,explains and verifies association roles. Instroduce the degree of interest under a great deal of roles, get rid of uninteresting association roles, thus provides instruction for students to choose courses under the Credit system.
出处 《现代计算机》 2007年第2期79-82,共4页 Modern Computer
关键词 关联规则 课程相关性 兴趣度 学生选课 Association Rules The Relativity of Courses The Interestingness Elective System
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  • 1Agrawal R.Mining Association Rules Between Sets of Items in Large Databases. In: Proceedings of ACM SIGMOD Conference on Management of Data, Washington D.C.,1993:207-216
  • 2Agrawal R, Srikant R. Fast-Algorithms for Mining Association Rules.In: Proceedings of the 20th International Conference on Very Large Databases, Santiage, Chile, 1994:487-499
  • 3Fayyad U, Piantesky-shapiro G.From Data Mining to Knowledge Discovery. Advances in Knowledge Discovery and Data Mining.California: AAAI Press, 1996:1-363
  • 4Berry M J A.Linoff G S.Data Mining Techniques for Marketing, Sales and Customer Support. John Wiley&Sons, 1997

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