摘要
图书荐购是对图书采购工作的有益补充,对馆藏建设起着不可或缺的作用。本文将数据挖掘技术和图书荐购相结合,通过建立数据仓库和数据分析处理,形成了一个适合高校图书馆实际情况的图书荐购模型,从而可以主动把握读者需求,并为科学合理建设馆藏文献做出有益尝试。
Books recommended purchase is useful complement to the collection development. It plays an indispensable role. Data mining technology and books recommended purchase are combined in the thesis. Through the establishment of data warehouse and the processing of data analysis,the thesis forms a model of books recommended purchase which suits the actual situation of university library,and then the needs of readers can be grasped,a useful attempt can be done for the scientific and rational collections construction.
出处
《晋图学刊》
2016年第4期8-10,15,共4页
Shanxi Library Journal
关键词
数据挖掘
图书荐购
馆藏建设
data mining
books recommended purchase
collections construction
