Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

Study of User Behavior Data Mining and Applications in University Libraries --Taking the Central China Normal University Library as an example

Authors
Rong Xu, Yi Yang
Corresponding Author
Rong Xu
Available Online April 2019.
DOI
https://doi.org/10.2991/icmeit-19.2019.44How to use a DOI?
Keywords
University Library, User, Behavior Data, Data Correlation.
Abstract
Through analysis of various data types generated from the library of Central China Normal University, such as admission data, borrowing data, digital library utilization data, and consulting service data, we explore the correlation information, value and improvement of library daily work and service. Finally, we propose the application mechanism and strategy of user behavior data of university library, which mainly includes the improvement of the organization system of big data collection, the evaluation of the data scale and usability, positioning and locating the user's big data personalized service demand, and guaranteeing the regularity and effectiveness of the work of each layer in the organization system.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.44How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Rong Xu
AU  - Yi Yang
PY  - 2019/04
DA  - 2019/04
TI  - Study of User Behavior Data Mining and Applications in University Libraries  --Taking the Central China Normal University Library as an example
BT  - 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 256
EP  - 260
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.44
DO  - https://doi.org/10.2991/icmeit-19.2019.44
ID  - Xu2019/04
ER  -