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关联规则挖掘算法FP-Growth在高职网络技术专业学生成绩分析中的应用
Application of Association Rule Mining Algorithm FP- Growth in the Score Analysis of Students from Network Technology Specialty in Polytechnics
【摘要】 从大量的成绩数据中进行数据挖掘并从中获得有价值的信息,是一件非常有意义的研究。以计算机网络技术专业学生10年的成绩作为数据源,运用基于关联规则的FP-Growth算法,研究5门课程之间的关联,为制订该专业人才培养方案提供参考和借鉴。
【Abstract】 Data mining from a large number of performance data and getting valuable information is a very meaningful research. Taking the 10- year scores of students majoring in computer network technology as a source of data,using the FP- Growth algorithm based on association rules,the association between five courses was studied.It can provide reference for formulating the professional talent training scheme.
- 【文献出处】 河池学院学报 ,Journal of Hechi University , 编辑部邮箱 ,2016年02期
- 【分类号】TP311.13;G712
- 【被引频次】2
- 【下载频次】142