Applied Research of an improved Apriori algorithm in the logistics industry
Authors
Jufang Li, Yuan Tang, Xiao Xiao, Yu Gao
Corresponding Author
Jufang Li
Available Online November 2016.
- DOI
- 10.2991/icmia-16.2016.63How to use a DOI?
- Keywords
- Apriori algorithm, database scanning, ABVO algorithm, Logistics management system
- Abstract
Modern logistics is a huge and complex system and the flow of information is large. We must deal with the huge amounts of data accurately in time, and data mining technology is appropriate to solve it. We improved the typical association rule-Apriori algorithm which is often used in data mining technology and got the new algorithm-ABVO algorithm. It is applied in the logistics management system in a company and proved working effective in reducing time of algorithm running and database scanning.
- 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 - Jufang Li AU - Yuan Tang AU - Xiao Xiao AU - Yu Gao PY - 2016/11 DA - 2016/11 TI - Applied Research of an improved Apriori algorithm in the logistics industry BT - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016) PB - Atlantis Press SP - 356 EP - 360 SN - 1951-6851 UR - https://doi.org/10.2991/icmia-16.2016.63 DO - 10.2991/icmia-16.2016.63 ID - Li2016/11 ER -