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

The Application of Data Mining in Electronic Commerce

Authors
Ying Chen
Corresponding Author
Ying Chen
Available Online April 2017.
DOI
10.2991/emim-17.2017.202How to use a DOI?
Keywords
E-commerce; Data mining; Application
Abstract

With the maturity of network technology and database technology, the global traditional business is experiencing a major change, moving to e-commerce at full speed. E-commerce is a new business model in the commercial field. It is a modern business mode with network as the platform and modern information technology as the means, focusing on economic benefit and its ultimate goal is to realize the networking, intelligentization and automation of business activities,. The emergence of e-commerce has changed the business philosophy, management methods and means of payment, has brought great changes to the various fields of society. With the rapid development of network technology and the improvement of social information level, e-commerce shows great market value and development potential.

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
10.2991/emim-17.2017.202
ISSN
2352-538X
DOI
10.2991/emim-17.2017.202How 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  - Ying Chen
PY  - 2017/04
DA  - 2017/04
TI  - The Application of Data Mining in Electronic Commerce
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 1013
EP  - 1016
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.202
DO  - 10.2991/emim-17.2017.202
ID  - Chen2017/04
ER  -