基于数据挖掘的图书馆读者借阅系统设计  

Design of library reader borrowing system based on data mining

作　　者：阎星宇[1] YAN Xingyu(Ningbo Dahongying University, Ningbo 315175, China)

机构地区：[1]宁波大红鹰学院,浙江宁波315175

出　　处：《现代电子技术》2018年第12期180-182,186,共4页Modern Electronics Technique

基　　金：浙江省科技厅/浙江省自然科学基金委批准项目(LY17A02007);宁波大红鹰学院校科研基金项目(1320161046)~~

摘　　要：分析图书馆读者借阅对提高图书借阅率、统计图书量具有重要意义。传统图书馆读者借阅系统主要通过以往读者借阅信息对图书借阅率、图书量所需增减情况进行分析,忽略了图书库存量对读者借阅率的影响。为此,提出并设计基于数据挖掘的图书馆读者借阅系统。在分析其整体结构的基础上,给出详细的硬件设计过程,引入数据挖掘方法,实现对软件部分的设计。实验结果表明,采用改进图书馆读者借阅系统可实现图书的高速借阅,提高借阅率及借阅准确度,具有一定的实用性。Library reader borrowing analysis is of great significance in improving the borrowing rate of books and obtaining the quantity of books. The traditional library reader borrowing system mainly analyzes the increase and decrease demand of book quantity and book borrowing rate according to the past borrowing information of readers,which ignores the impact of book inventory on the reader borrowing rate. Therefore,a library reader borrowing system based on data mining is proposed and designed.On the basis of analyzing its overall structure,the detailed hardware design process is given,and the data mining method is introduced to realize the design of the software part. The experimental results show that the improved library reader borrowing system can achieve the high-speed borrowing of books,and improve the borrowing rate and borrowing accuracy,which has a certain practicability.

关 键 词：数据挖掘 图书借阅率 读者借阅信息 借阅系统 图书库存量 系统设计 

分 类 号：G250.7[文化科学—图书馆学] TP311.13[自动化与计算机技术—计算机软件与理论]