Data mining Technology-Based Design and Implementation of University Library Personalized Service
- https://doi.org/10.2991/isrme-15.2015.354How to use a DOI?
- data mining; personalized service; cluster analysis; association rules
With IT and network technology becoming more and more mature, the application of database technology is deeper, university library data storage and management also significantly increase during this process, how to expand the space and scope of university library services so that readers can access information resources they need is put on the agenda, university library of personalized service is born. In order to make university library personalized service able to have a strong theoretical work as a basis, the paper bases on data mining technology, focuses on cluster analysis and association rules models, analyzes and researches the library personalized service.
- © 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/).
Cite this article
TY - CONF AU - Lipeng Ye AU - Yongfu Wang PY - 2015/04 DA - 2015/04 TI - Data mining Technology-Based Design and Implementation of University Library Personalized Service BT - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering PB - Atlantis Press SP - 1746 EP - 1749 SN - 1951-6851 UR - https://doi.org/10.2991/isrme-15.2015.354 DO - https://doi.org/10.2991/isrme-15.2015.354 ID - Ye2015/04 ER -