Title :
Data Mining in Library Reader Management
Author_Institution :
Comput. & Inf. Technol. Dept., Tianjin Univ., Tianjin, China
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;
Conference_Titel :
Network Computing and Information Security (NCIS), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-61284-347-6
DOI :
10.1109/NCIS.2011.109
