DocumentCode
2197789
Title
Data Mining in Library Reader Management
Author
Yu, Ping
Author_Institution
Comput. & Inf. Technol. Dept., Tianjin Univ., Tianjin, China
Volume
2
fYear
2011
fDate
14-15 May 2011
Firstpage
54
Lastpage
57
Abstract
Data mining technology has been applied to library management. In this paper, based on the data resource come from Boustead College Library Information Management System include record of book lending history, readers information and library holdings, using Microsoft SQL Server 2005 as a data mining tool and use the data mining techniques to identify characteristics of the readers´ book borrowing, in order to achieve individual service.
Keywords
SQL; academic libraries; bookkeeping; data mining; information management; library automation; Boustead College Library Information Management System; Microsoft SQL server; book lending history; data mining technique; data resource; library holding; library reader management; reader book borrowing; Association rules; Books; Clustering algorithms; Itemsets; Libraries; Time series analysis; Association Rules; Cluster; Data Mining; Reader Management in Library; Time Series;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Computing and Information Security (NCIS), 2011 International Conference on
Conference_Location
Guilin
Print_ISBN
978-1-61284-347-6
Type
conf
DOI
10.1109/NCIS.2011.109
Filename
5948792
Link To Document