农业图书情报学刊 ›› 2016, Vol. 28 ›› Issue (4): 112-114.doi: 10.13998/j.cnki.issn1002-1248.2016.04.026

• 工作研究 • 上一篇    下一篇

浅议基于数据挖掘的高校图书馆购书计划

冯娜   

  1. 河南科技大学图书馆,河南 洛阳 471023
  • 收稿日期:2015-10-18 出版日期:2016-04-05 发布日期:2016-04-05
  • 作者简介:冯娜(1983-),女,助理馆员,硕士研究生,研究方向:图书馆理论的研究。

A Brief Discussion of University Library’s Book Procurement Plan Based on Data Mining

FENG Na   

  1. Library of Henan University of Science and Technology, Henan Luoyang 471023, China
  • Received:2015-10-18 Online:2016-04-05 Published:2016-04-05

摘要: 合理的馆藏结构是保证整个高校图书馆系统高速运转的基础。说明了将数据挖掘应用到高校图书馆购书计划当中的具体应用步骤。将数据挖掘技术用于确定图书采购策略,有利于优化高校图书馆藏书结构,对提升高校图书馆的整体服务水平有至关重要的作用,因而具有较强的现实意义。

关键词: 数据挖掘, 高校图书馆, 采购计划

Abstract: A reasonable library collection structure is the basis for the high-speed operation of entire university library system. This paper applied data mining in university library’s book procurement plan and illustrated the specific application procedure. The application of data mining technology in the book procurement strategy could optimize the structure of university library collection and play a crucial role in enhancing the overall service standard of university library, and thus have strong practical significance.

Key words: Data mining

中图分类号: 

  • G250

引用本文

冯娜. 浅议基于数据挖掘的高校图书馆购书计划[J]. 农业图书情报学刊, 2016, 28(4): 112-114.

FENG Na. A Brief Discussion of University Library’s Book Procurement Plan Based on Data Mining[J]. , 2016, 28(4): 112-114.