Library and University Data Analysis Using Data Detection

DOI

10.2991/icmii-15.2015.61How to use a DOI?

Keywords

Academic Libraries; Data Detection; Data Mining; Collections management; Data Analysis

Abstract

Library data are always hard to analyze because the datasets may be very large, and these data come from unconnected sources. This paper used data detection to identify academic library use patterns and to judge whether students' grade point average correlated to academic library use. All datasets of this paper were uploaded into a secure, single data warehouse, allowing them to be managed, supervised and analyzed. The detection showed patterns of library use by academic department, patterns of book use 15 years and statistics between grade point average and academic library use. The technique is demonstrated using data collected at Hohai University in China. In this paper, a model is advised for campus partnerships that empowers data detection of campus information and sensitive library.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuqing Shi
AU  - Yuelong Zhu
PY  - 2015/10
DA  - 2015/10
TI  - Library and University Data Analysis Using Data Detection
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 336
EP  - 339
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.61
DO  - 10.2991/icmii-15.2015.61
ID  - Shi2015/10
ER  -