Data mining Technology-Based Design and Implementation of University Library Personalized Service

被引：0

作者：

Ye Lipeng ^{[1
]}

Wang, Yongfu ^{[2
]}

机构：

[1] Wuhan Univ Technol, Art Design Dept, Wuhan, Peoples R China

[2] Wuhan Univ Technol Lib, Wuhan, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS RESEARCH AND MECHATRONICS ENGINEERING | 2015年 / 121卷

关键词：

data mining; personalized service; cluster analysis; association rules;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With IT and network technology becoming more and more mature, the application of database technology is deeper, university library data storage and management also significantly increase during this process, how to expand the space and scope of university library services so that readers can access information resources they need is put on the agenda, university library of personalized service is born. In order to make university library personalized service able to have a strong theoretical work as a basis, the paper bases on data mining technology, focuses on cluster analysis and association rules models, analyzes and researches the library personalized service.

引用

页码：1746 / 1749

页数：4

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