摘要
采用数据挖掘技术对高校图书馆借阅数据进行研究分析,从总体上掌握读者的阅读趋势,为图书馆采购工作提供依据和参考。首先,基于聚类分析对读者借阅数据进行数据挖掘,了解和掌握读者与图书的聚类特征规律;其次,应用关联规则对借阅数据进行挖掘分析,准确判断读者的借阅行为,并在此基础上提出了图书馆采购的对策建议。
This paper uses data mining technology to study and analyze the borrowing data of university library,to master the reading trend of readers on the whole,and to provide basis and reference for the library procurement work.Firstly,based on cluster analysis,data mining of reader borrowing data is carried out to understand and master the clustering characteristics of readers and books.Secondly,it uses association rules to mine and analyze the borrowing data,accurately judge the borrowing behavior of readers,and on this basis,puts forward the countermeasures and suggestions for library procurement.
作者
赵晓芳
ZHAO Xiaofang(Library,Changzhou University,Changzhou Jiangsu 213000,China)
出处
《宿州教育学院学报》
2021年第4期50-52,77,共4页
Journal of Suzhou Education Institute
