The application of OLAP and Data mining technology in the analysis of book lending

DOI

10.2991/amcce-17.2017.65How to use a DOI?

Keywords

Book lending, Data warehouse, Cubes, Association rule.

Abstract

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.

Copyright

© 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/).

Download article (PDF)

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  -