Proceedings of the 2013 International Academic Workshop on Social Science

Rapid Development Framework of Supply Chain Knowledge Management Based on Mining Association Rules

Authors
Yudong Guo
Corresponding Author
Yudong Guo
Available Online October 2013.
DOI
10.2991/iaw-sc.2013.37How to use a DOI?
Keywords
Rapid Development Framework; Supply Chain Knowledge Management; Association Rules; Data Mining;Horizontal Integration
Abstract

Supply chain management is the typical representative of" horizontal integration" management ideology, realize the knowledge sharing among the supply chain member enterprises is the key to victory in the fierce market competition. Associations rules is top ten algorithm and an important data mining model studied extensively by the database and data mining community. Association rules are applied to the supply chain management in this paper and acquire expected result .Finally, supply chain knowledge management system was proposed which based on the rapid implement framework.

Copyright
© 2013, 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 2013 International Academic Workshop on Social Science
Series
Advances in Intelligent Systems Research
Publication Date
October 2013
ISBN
10.2991/iaw-sc.2013.37
ISSN
1951-6851
DOI
10.2991/iaw-sc.2013.37How to use a DOI?
Copyright
© 2013, 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  - Yudong Guo
PY  - 2013/10
DA  - 2013/10
TI  - Rapid Development Framework of Supply Chain Knowledge Management Based on Mining Association Rules
BT  - Proceedings of the 2013 International Academic Workshop on Social Science
PB  - Atlantis Press
SP  - 172
EP  - 175
SN  - 1951-6851
UR  - https://doi.org/10.2991/iaw-sc.2013.37
DO  - 10.2991/iaw-sc.2013.37
ID  - Guo2013/10
ER  -