Integrated Framework of Enterprise Knowledge Management Based on Mining Association Rules
Authors
Ying He
Corresponding Author
Ying He
Available Online April 2017.
- DOI
- 10.2991/icammce-17.2017.45How to use a DOI?
- Keywords
- integrated framework; knowledge management; mining association rules; enterprise knowledge management system
- Abstract
An Enterprise requires fund of knowledge to choose the right processes, technologies and resources. Enterprise knowledge management gradually become the key to victory in the fierce 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 enterprise management in this paper and acquire expected result .Finally, enterprise knowledge management system was proposed which was based on the integrated framework.
- 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/).
Cite this article
TY - CONF AU - Ying He PY - 2017/04 DA - 2017/04 TI - Integrated Framework of Enterprise Knowledge Management Based on Mining Association Rules BT - Proceedings of the 2017 2nd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2017) PB - Atlantis Press SP - 228 EP - 233 SN - 2352-5401 UR - https://doi.org/10.2991/icammce-17.2017.45 DO - 10.2991/icammce-17.2017.45 ID - He2017/04 ER -