The Research and Design of Big Data Trading Platform for Entity Business

DOI

10.2991/eeeis-17.2017.77How to use a DOI?

Keywords

Big data trading, Entity business, Decision-making analysis

Abstract

An entity business based big data trading platform will be researched and designed against the defects of the traditional large scale business under the environment of big data. The platform will follow five steps: step one, use hardware equipment to collect basic information of the merchants, commodities and users; step two, store the collected data via distributed database; step three, filter invalid data with data cleaning technology; step four, find the connections among merchants, commodities and users by data mining; step five, visually present the needed results to customers. This brand new trading platform will be mainly applied to some large scale entity business because bringing it online can narrow the current gap between the entity business and the e-commerce platform in such aspects as user experience, users' behavior analysis, business intelligence and so on, thus improving the plight the entity business is confronted with to some extent.

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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TY  - CONF
AU  - Qian-Ying ZOU
AU  - Lan LUO
PY  - 2017/09
DA  - 2017/09
TI  - The Research and Design of Big Data Trading Platform for Entity Business
BT  - Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017)
PB  - Atlantis Press
SP  - 519
EP  - 524
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-17.2017.77
DO  - 10.2991/eeeis-17.2017.77
ID  - ZOU2017/09
ER  -