摘要
本文利用Clementine软件和数据挖掘技术,对高校学生的借阅记录进行分析并挖掘建模,最后挖掘得到更深层次的数据,从而为图书馆管理者提供决策依据,帮助完善高校图书馆的服务功能。
This article analyzes the college students'borrowing records and mines to establish models usingClementine software and data mining technology.The deep data obtained after final mining guides the decisionof library's manager,and helps complete the service function of colleges'library.
作者
侯松霞
Hou Songxia(Tianjin Transportation Vocational College, Tianjin 300112)
出处
《创新科技》
2017年第3期79-81,共3页
Innovation science and technology