文献类型：期刊文献

中文题名：数据挖掘技术在图书馆读者分析中的应用

英文题名：Application of Data Mining to Demand Analysis of Library's Readers

作者：钱强[1];李英[1]

机构：[1]华东理工大学商学院,上海200237

年份：2009

卷号：53

期号：12

起止页码：121

中文期刊名：图书情报工作

外文期刊名：Library and Information Service

收录：CSTPCD;;北大核心:【北大核心2008】；CSSCI:【CSSCI2008_2009】；

语种：中文

中文关键词：数据挖掘;聚类;关联规则;自组织映射网络

外文关键词：data mining clustering association rules SOM

摘要：使用SOM聚类方法对上海某大学图书馆数据库中的借阅数据进行挖掘分析,对读者进行聚类,用关联规则挖掘方法对某类读者的计算机类图书借阅记录进行挖掘,分析对每一类读者的借阅特征,以找出其借书规则,从而为图书馆管理提出建议。
As the digital development of library, a huge mass of data has accumulated in library＇ s database, which can be analyzed and processed to provide decision support for library management through data mining. This paper mines data from one university library＇ s database in Shanghai clusters the readers by means of SOM and analyzes the characteristics of each cluster by association rule mining method, to find useful rules about borrowing behavior. Through this, it proposes some suggestions for library management.