Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

Research on Military Logistics based on Big Data

Authors
Hao Shi, Fei Wan, Xiaokang Lei
Corresponding Author
Hao Shi
Available Online April 2019.
DOI
https://doi.org/10.2991/icmeit-19.2019.40How to use a DOI?
Keywords
big data; cloud computing; data mining; smart military logistics ecosystem.
Abstract
This document gives formatting instructions for authors preparing papers for publication. With the arrival of the era of big data, the mature use of cloud computing and data mining technology, the big data mode have been widely applied in logistics. For military logistics, a smart military logistics ecosystem is built combining with big data, cloud computing and data mining. The collection, processing, mining technology of big data in military logistics are introduced. The promoting role of big data on military logistics is emphasized. The fusion method of big data and military logistics is expounding. The basic framework of smart military logistics ecosystem is built, and the application prospect of smart military logistics ecosystem is described.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.40How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hao Shi
AU  - Fei Wan
AU  - Xiaokang Lei
PY  - 2019/04
DA  - 2019/04
TI  - Research on Military Logistics based on Big Data
BT  - 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 231
EP  - 237
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.40
DO  - https://doi.org/10.2991/icmeit-19.2019.40
ID  - Shi2019/04
ER  -