Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)

Application of Data Mining Technology in Information Analysis of University Library Literature

Authors
Gemin Li
Corresponding Author
Gemin Li
Available Online December 2016.
DOI
https://doi.org/10.2991/mcei-16.2016.65How to use a DOI?
Keywords
Data mining; Library literature; University; Application
Abstract
Data mining technology plays an important role in the field of retrieving information. It is an information processing technology in the era of science and technology, and has been widely applied in many fields. Similarly, to meet the requirements of science and technology, university library moves towards the information of network technology gradually. Likewise, Data mining technology has penetrated into information management and analysis for the university library literature little by little. Personalized needs for teachers and students could be provided by university library using the data mining technology that makes the distinguishing features of digital library play out. The author mainly studies the concrete content of the data mining technology and its application in information analysis of the university library literature.
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Proceedings
2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-282-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/mcei-16.2016.65How 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  - Gemin Li
PY  - 2016/12
DA  - 2016/12
TI  - Application of Data Mining Technology in Information Analysis of University Library Literature
BT  - 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 310
EP  - 313
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.65
DO  - https://doi.org/10.2991/mcei-16.2016.65
ID  - Li2016/12
ER  -