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›› 2016, Vol. 28 ›› Issue (4): 112-114.doi: 10.13998/j.cnki.issn1002-1248.2016.04.026

• Work study • Previous Articles     Next Articles

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

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

CLC Number: 

  • G250
[1] 奉国和.基于SAS数据挖掘技术的航空CRM系统分析[J].情报杂志,2006,25(5):56-59.
[2] 俞锦梅.数据挖掘在国内图书馆应用领域研究综述[J].图书与情报,2015,(2):137-141.
[3] 吴晅威.基于数据挖掘的高校图书馆读者服务优化[J].科技情报开发与经济,2012,(16):6-8.
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