The Community for Technology Leaders
Services Science, Management and Engineering, IITA International Conference on (2009)
Zhangjiajie, China
July 11, 2009 to July 12, 2009
ISBN: 978-0-7695-3729-0
pp: 535-537
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 students’ 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.
INDEX TERMS
Booking Policy; Data Mining; Operational Research; Stoking Theory; Web Log Mining
CITATION

W. Wang, "A Library Booking Policy Based on Stocking Theory," 2009 IITA International Conference on Services Science, Management and Engineering (SSME), Zhangjiajie, 2009, pp. 535-537.
doi:10.1109/SSME.2009.154
93 ms
(Ver 3.3 (11022016))