Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering

Research on Intelligent Model of Transaction Platform in Rural E-commerce Based on Big Data Analysis

Authors
Hongsheng Xu, Ganglong Fan
Corresponding Author
Hongsheng Xu
Available Online July 2016.
DOI
10.2991/icsnce-16.2016.20How to use a DOI?
Keywords
E-commerce; Big data; Rural e-commerce trading platform; Data mining; Intelligent
Abstract

This paper first discuss the large scale, multi modal and growth of the data, and analyze the application of intelligent data mining in the aspects of computing, effectiveness and high efficiency. This paper analyzes the current situation of development of e-commerce in rural areas, as well as the purpose and significance of building a smart rural e-commerce trading platform. The paper presents intelligent model of transaction platform in rural e-commerce based on big data analysis. Finally, the experimental results show that the proposed method is effective.

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/).

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Volume Title
Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
Series
Advances in Engineering Research
Publication Date
July 2016
ISBN
978-94-6252-217-6
ISSN
2352-5401
DOI
10.2991/icsnce-16.2016.20How to use a DOI?
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  - Hongsheng Xu
AU  - Ganglong Fan
PY  - 2016/07
DA  - 2016/07
TI  - Research on Intelligent Model of Transaction Platform in Rural E-commerce Based on Big Data Analysis
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 105
EP  - 109
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.20
DO  - 10.2991/icsnce-16.2016.20
ID  - Xu2016/07
ER  -