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关联规则挖掘及其在课堂教学评价中的应用

Association Rules Mining and its Application to Teaching Appraisal

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【作者】 费玲玲张震林

【Author】 FEI Ling-ling,ZHANG Zhen-lin(Electronic Information and Electric Engineering Department,Chengdu Textile College,Chengdu 611731)

【机构】 成都纺织高等专科学校电气系

【摘要】 研究了数据挖掘技术中的关联规则算法,对经典的Apriori算法作了全面的分析,指出了挖掘中的关键步骤,并对算法做了适当的调整,提高了整个算法的效率;将关联规则数据挖掘的方法运用到课堂教学评价中,从教学评价数据中进行数据挖掘,找到课堂教学效果与教师基本情况的关系,从而为更好地开展教学工作,提高教学质量提供参考依据。

【Abstract】 Association rules mining was studied,full analysis on classical algorithm—Apriori was made,key steps in data mining were pointed out and proper adjustment of algorithm was done to improve the efficiency of algorithm.In the end,method of association rules data mining was applied to class teaching appraisal,data mining was made in teaching appraisal data and basic relationship between teaching effect and teachers’ qualifications was found in order to provide reference for better teaching and improving teaching qualities.

  • 【文献出处】 成都纺织高等专科学校学报 ,Journal of Chengdu Textile College , 编辑部邮箱 ,2009年02期
  • 【分类号】TP311.13
  • 【被引频次】12
  • 【下载频次】160
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