Data mining Technology-Based Design and Implementation of University Library Personalized Service

DOI

10.2991/isrme-15.2015.354How to use a DOI?

Keywords

data mining; personalized service; cluster analysis; association rules

Abstract

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.

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  - 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  - 10.2991/isrme-15.2015.354
ID  - Ye2015/04
ER  -