Applied Research of an improved Apriori algorithm in the logistics industry

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/).

Download article (PDF)

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  -