摘要
本文针对图书馆信息管理系统中缺乏对读者借阅数据隐含的知识分析,通过关联挖掘技术,利用基于概念分层的MAR-FP算法,结合实例阐述如何发现读者行为数据中隐藏的规律性知识,探讨关联知识发现的应用前景,以缩小读者需求与图书馆服务之间的差距。
In allusion to lack knowledge analysis of reader borrowing data in the library information management system,using the MAR-FP algorithm based on concept hierarchies,and combined with the example,this paper expatiates how to discover the knowledge hidden in the reader behavior dates,and discusses the application of knowledge discovery in order to reduce the difference between reader demand and library services.
出处
《图书馆工作与研究》
CSSCI
北大核心
2010年第12期38-41,共4页
Library Work and Study
