摘要
图书采购是高校图书馆最重要的工作之一。文章通过对读者借阅数据进行关联规则数据挖掘,发现图书借阅频率及图书借阅数据间的关联关系,以及事实数据即图书需求信息表。将经过数据修正的图书需求信息表作为图书采购的决策依据,减少人为因素对图书采购工作的影响,使采购的图书能真实反映并满足读者对图书的个性化需要。
Book procurement is one of the most important jobs of university library. Through the association rule data mining of reader borrowing data, this paper finds the association relationship between book borrowing frequency and book borrowing data, and the factual data, that is, the book demand information table. The book demand information table with data correction is used as the decision-making basis for book procurement so as to reduce the impact of human factors on book procurement so that the purchased books can truly reflect and meet the personalized needs of readers.
作者
欧阳烽
OUYANG Feng(Hunan Normal University,Changsha 410012,China)
出处
《电脑与信息技术》
2023年第1期50-53,共4页
Computer and Information Technology
关键词
智能采购
关联规则
读者借阅数据
图书需求信息表
数据挖掘
SAS
intelligent procurement
association rules
readers’borrowing data
book demand information table
data mining
SAS
