Research on the Integration of Academic Resources Based on Data Mining
- 10.2991/meici-17.2017.138How to use a DOI?
- Data Mining; Academic Resources; Resource Integration
Academic resources have their unique characteristics, and they are important sources of information for teaching and research workers in universities. Too rich data resources make it easy for people to fall into the "information poverty" situation. In order to effectively promote the development of science and the library and provide services for users, it is necessary to increase the mass of information of digital library development and deep mining, extraction of information out of order relation. Using classification techniques, it can integrate the reader to the relevant literature, and provide data for consulting the literature acquisitioning work; Association analysis, can understand what books are often borrow these books in similar position, optimize the construction of collections.
- © 2017, 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/).
Cite this article
TY - CONF AU - Bo Yang AU - Lina Zhang PY - 2017/10 DA - 2017/10 TI - Research on the Integration of Academic Resources Based on Data Mining BT - Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017) PB - Atlantis Press SP - 696 EP - 699 SN - 1951-6851 UR - https://doi.org/10.2991/meici-17.2017.138 DO - 10.2991/meici-17.2017.138 ID - Yang2017/10 ER -