基于数据挖掘的图书智能采购模式分析  

Analysis of Book Intelligent Purchase Model Based on Data Mining

作　　者：欧阳烽[1] OUYANG Feng(Hunan Normal University,Changsha 410012,China)

机构地区：[1]湖南师范大学,湖南长沙410012

出　　处：《电脑与信息技术》2023年第1期50-53,共4页Computer and Information Technology

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.

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 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]