Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society

Research on the Application of SQL Data Mining Technology in Logistics Enterprises Management

Authors
Weihai Xia, Shiping Liu
Corresponding Author
Weihai Xia
Available Online April 2016.
DOI
10.2991/emim-16.2016.362How to use a DOI?
Keywords
SQL; Data mining technology; Logistics enterprise; Management application
Abstract

This paper mainly analyzed the process and function of data mining in logistics enterprise. Analyzed the data mining application in logistics enterprise customer relationship management, supply chain system management and decision- making system. Pointed out the means, effect and mechanism of SQL data mining technology in those applications. Finally took SQL data mining application in Z logistics enterprise as the example, introduced the process of data mining from analysis problems, preparing data, data mining and results.

Copyright
© 2016, 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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Volume Title
Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
Series
Advances in Computer Science Research
Publication Date
April 2016
ISBN
978-94-6252-176-6
ISSN
2352-538X
DOI
10.2991/emim-16.2016.362How to use a DOI?
Copyright
© 2016, 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  - Weihai Xia
AU  - Shiping Liu
PY  - 2016/04
DA  - 2016/04
TI  - Research on the Application of SQL Data Mining Technology in Logistics Enterprises Management
BT  - Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SP  - 1784
EP  - 1788
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.362
DO  - 10.2991/emim-16.2016.362
ID  - Xia2016/04
ER  -