高校图书馆借阅数据的关联规则挖掘研究  

Research of association rule mining application in college library circulation data

作　　者：戚敏[1] 

机构地区：[1]广西工学院图书馆,广西柳州545006

出　　处：《广西工学院学报》2007年第4期77-80,90,共5页Journal of Guangxi University of Technology

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.

关 键 词：数据挖掘 关联规则 图书馆 管理系统 借阅数据 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]