摘要
为了向读者提供图书推荐的个性化服务,阐述了使用数据挖掘技术为高校图书馆的业务管理工作提供决策参考的设计思想及实现过程,并完成了图书馆关联规划挖掘系统的设计与实现。本文采用一种改进的Apriori算法对图书馆学生的借阅历史数据进行挖掘分析,得到了很多关联规则,以从中发现读者对资源的借阅模式,为图书馆信息服务、信息资源采集提供了科学决策的有效方法。
In order to provide the books recommendation individuation service for the reader, the data mining technology that provides business management and policy-making for college library was elabrated and the library data mining system design and realization were completed. Based on the association rule technology, one kind of improvement Apriori algorithm was used to conduct the mining analysis through the history circulation data from the library. Some significant association rules were obtained from which the reader patterns of resources were discovered. And this provided scientific policy-making and the effective methods for the library information service and gathering.
出处
《广西工学院学报》
CAS
2007年第4期77-80,90,共5页
Journal of Guangxi University of Technology
关键词
数据挖掘
关联规则
图书馆
管理系统
借阅数据
data mining
association rule
library
management system
circulation data
作者简介
戚敏（1964-），女，广西合浦人，副研究馆员，广西工学院图书馆参考咨询部主任，北京工业大学软件工程硕士。
