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New Technology of Library and Information Service  2006, Vol. 1 Issue (11): 51-54    DOI: 10.11925/infotech.1003-3513.2006.11.13
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User Behavior Analysis in the Library-based on Data Mining
Wang Wei1    Zhang Zhengfang1    Wang Haiming
1(Department of Information Management, Peking University, Beijing 100871, China)
2(Dalian Jiaotong University Library, Dalian 116028, China)
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Abstract  

With the development of the technology in database and the system applied on the library management, there are many data of the user logged the collections in the library.These data hide many important information.According to the analysis,this paper offers the data for reader service.

Key wordsData mining      Log of borrowing and reading      Reader behavior     
Received: 08 September 2006      Published: 25 November 2006
: 

G254

 
Corresponding Authors: Wang Wei     E-mail: wwang_mr@pku.edu.cn
About author:: Wang Wei,Zhang Zhengfang,Wang Haiming

Cite this article:

Wang Wei,Zhang Zhengfang,Wang Haiming . User Behavior Analysis in the Library-based on Data Mining. New Technology of Library and Information Service, 2006, 1(11): 51-54.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2006.11.13     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2006/V1/I11/51

1魏育辉,潘洁.图书流通数据的关联挖掘量化分析方法.现代情报,2005(11):108-110
2蔡会霞,朱洁,蔡瑞英.关联规则的数据挖掘在高校图书馆系统中的应用.南京工业大学学报,2005,27(1):86-88
3司徒浩臻.数据挖掘技术在图书馆信息服务中的应用.现代图书情报技术,2005(10):15-18
4刘晓东.数据挖掘在图书馆工作中的应用.情报杂志,2005(8):63-65
5张永梅,韩焱,薛海丽.数据挖掘技术及其在数字图书馆中的应用.计算机与现代化,2005,122(10):33-35
6李玮平.基于数据挖掘的图书馆读者需求分析.图书馆论坛,2004,24(3):86-88

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