Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

Application of Big Data Processing and Analysis Key Technology in Building Novel Model of Cross-Border E-Commerce

Authors
Hongsheng Xu, Ganglong Fan
Corresponding Author
Hongsheng Xu
Available Online April 2017.
DOI
10.2991/emim-17.2017.33How to use a DOI?
Keywords
Cross-border E-commerce; Big data; Electronic business platform; Data processing and analysis; B2B
Abstract

This paper first analyzes the cross-border e-commerce industry structure, and in-depth excavation of the characteristics of the electricity supplier model. Data processing system is the core of data analysis. In order to improve data analysis capabilities, cross-border electricity providers can introduce big data processing technology to seek cooperation and technical support. The paper presents application of big data processing and analysis key technologies in building novel model of cross-border e-commerce.

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/).

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Volume Title
Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
978-94-6252-356-2
ISSN
2352-538X
DOI
10.2991/emim-17.2017.33How to use a DOI?
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  - Hongsheng Xu
AU  - Ganglong Fan
PY  - 2017/04
DA  - 2017/04
TI  - Application of Big Data Processing and Analysis Key Technology in Building Novel Model of Cross-Border E-Commerce
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 152
EP  - 156
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.33
DO  - 10.2991/emim-17.2017.33
ID  - Xu2017/04
ER  -