聚类分析算法在数字图书馆中的应用研究  

Research of Cluster Analysis Algorithm in Digital Library

作　　者：肖健[1] 刁洪祥[1] 

机构地区：[1]湖南农业大学图书馆,长沙410128

出　　处：《当代图书馆》2013年第3期14-17,共4页Contemporary Library

摘　　要：传统的图书管理系统中所拥有大量的信息并没有进行深层次的应用及研究分析。本文应用聚类分析算法,帮助图书管理人员了解读者对不同类型书籍的喜爱程度和检索图书的类型,从而得出使用频率较高的图书分类。通过实验分析获得的相关规律和结论,为图书馆数字资源的采购、引进以及个性化服务推荐提供有力的数据依据和决策管理支持。In traditional library management system, a lot of information has been produced and no in-depth analysis, research and application has been conducted towards it. In this paper, cluster analysis algorithm has been discussed and this method can help librarians understand readers＇ love for different types of books and the types of retrieval books, and then find a way of library classification which can be used more frequently. The relevant rules and conclusions obtained through experimental analysis can provide a strong data basis and decision-making management support for the procurement of digital resources, the introduction and recommendation of characteristic services.

关 键 词：数据挖掘 聚类分析 数字图书馆 

分 类 号：G250.76[文化科学—图书馆学]