Title :
A Library Booking Policy Based on Stocking Theory
Author_Institution :
Teaching Dept. of Modern Educ. Technol., Ludong Univ., Yantai, China
Abstract :
This paper puts forward a new booking policy based on data mining technology and stocking theory. The main idea is to analysis Web logs of the library system by data mining theory to get what kinds of books are studentspsila interests most and then analysis these books by stocking theory to get the best booking policy. At the last part of this paper, an example is given to illuminate the availability of this new policy.
Keywords :
Web sites; academic libraries; data mining; library automation; Web logs analysis; academic library; data mining; library booking policy; stocking theory; Books; Conference management; Data analysis; Data mining; Educational technology; Information analysis; Information resources; Libraries; Technology management; Web sites; Booking Policy; Data Mining; Operational Research; Stoking Theory; Web Log Mining;
Conference_Titel :
Services Science, Management and Engineering, 2009. SSME '09. IITA International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-0-7695-3729-0
DOI :
10.1109/SSME.2009.154
