摘要
研究在Hadoop平台之上运用Fp-Growth等数据挖掘算法,对福州软件职业技术学院校园一卡通的相关学生消费数据进行统计、分析、挖掘,从而得出贫困生评定等级的参考值。
Based on the Hadoop platform,using the data mining algorithms such as FP growth,this paper makes statistics,analysis and mining on the consumption data of the students related to the all-in-one campus card on the campus of Fuzhou Software Vocational and Technical College,so as to obtain the reference value of the poverty-stricken students’evaluation grade.
作者
李楠
LI Nan(Software Engineering Department of Fuzhou Software Polytechnic,Fuzhou,Fujian 350003)
出处
《张家口职业技术学院学报》
2019年第4期53-55,共3页
Journal of Zhangjiakou Vocational and Technical College
基金
2017年度福建省教育厅中青年教师教育科研项目“基于Hadoop的校园一卡通数据的数据挖掘技术的研究”(项目编号:JAT171182)的研究成果
