摘要
提出了一种新的基于数据挖掘技术和存储理论的图书订购策略,该策略主要思想是先利用数据挖掘技术对图书馆系统的日志文件进行分析,得到学生比较感兴趣的图书种类,然后针对这些图书应用库存理论进行分析,得到最佳的订购策略,最后用实例说明了该订购策略的有效性。
This paper puts forward a new booking policy based on data mining technology and stocking theory. The main idea is to analysis web logs of the library system by data mining theory to get what kinds of books are students' interests most and then analysis these books by stocking theory to get the best booking policy. At the last part of this paper, an example is given to illuminate the availability of this new policy.
出处
《情报科学》
CSSCI
北大核心
2008年第5期698-700,共3页
Information Science
基金
国家“863”高新技术资助项目(2003AA1Z2320)
鲁东大学校基金资助项目(L20064104)
关键词
图书订购策略
数据挖掘
运筹学
库存理论
日志挖掘
booking policy
data mining
operational research
stoking theory
Web log mining