高校图书馆流通数据挖掘的新思路  

The New Thought of Circulation Data Mining of University Library

作　　者：周志超[1] 张远[1] 侯胜超[2] 

机构地区：[1]北京大学医学图书馆,北京100109 [2]华中科技大学同济医学院附属同济医院图书馆,湖北武汉430030

出　　处：《现代情报》2013年第10期143-148,共6页Journal of Modern Information

基　　金：北京高校图书馆研究基金项目"基于情报学基本定律与评价指标的图书馆流通数据分析研究"(项目编号:BGT2012304)的研究成果

摘　　要：图书馆流通数据是图书馆业务流程优化的重要依据之一,对其分析方法层出不穷,但用于指导图书馆实践活动的甚少。本文通过参考与借鉴情报学基本定律与分析方法,重新定义并建立基于图书借阅频次的评价指标,即图书半衰期、图书集合普赖斯指数、图书滞架指数、图书h指数,以及基于读者借阅次数与行为的分析方法,即读者h指数等指标和图书耦合/共现网络模型,从而提高对高校图书馆流通数据的分析能力和组织能力,希冀为优化采购和布局配置,向读者提供积极、主动、个性化信息服务提供新的思路。The circulation data of library is one of important basis of the optimization of business process of library, on which the analysis methods are numerous, however, there was little method used to guide library practice. By referencing the fundamental law and analysis methods of information science, this paper redefined and established evaluation indicatons which is based on the amount of borrowing, including haft life of book, price index of book set, retention index of book, h index of book, and analysis methods which is based on the borrowing behavior and borrowing amount of readers, including h index of refer and coupling/co - occurrence network model of book, so as to enhance the ability of analysis and organization on the circulation data of Library＇, in order to provide new solution on improving purchase and overall an＇angered, afford positive, initiative and individual ird＇ormation service to readers.

关 键 词：OPAC数据 流通数据 高校图书馆 评价指标 

分 类 号：G251.5[文化科学—图书馆学]