The application of OLAP and Data mining technology in the analysis of book lending
Xiao-Han Zhou, Xiao-Mei Zhang
Available Online March 2017.
- 10.2991/amcce-17.2017.65How to use a DOI?
- Book lending, Data warehouse, Cubes, Association rule.
Book lending data is the core of the library's basic business, Through the use of OLAP and data mining technology, the library can be effectively mine the accumulated library books lending data, provide the basis for the development and daily management of the library. This paper realizes the design of data warehouse based on the book lending data of the library, On the basis of this, a cubes is established, through a number of dimensions to analysis the book lending data. Then the GRI algorithm based on data mining is used to mine the data effectively.
- © 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 - Xiao-Han Zhou AU - Xiao-Mei Zhang PY - 2017/03 DA - 2017/03 TI - The application of OLAP and Data mining technology in the analysis of book lending BT - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017) PB - Atlantis Press SP - 368 EP - 373 SN - 2352-5401 UR - https://doi.org/10.2991/amcce-17.2017.65 DO - 10.2991/amcce-17.2017.65 ID - Zhou2017/03 ER -