Novel Innovation Model of E-Commerce Consumption Based on Big Data Processing and Analysis Technology

DOI

10.2991/snce-17.2017.114How to use a DOI?

Keywords

Big data; Data analysis; E-commerce consumption model; Data acquisition; Data processing

Abstract

Big data is a large volume, data category is particularly large data sets, and such data sets can not use traditional database tools to capture, manage and deal with its content. Big data value chain can be divided into 4 stages: data generation, data acquisition, and data storage and data analysis. Data analysis aims at extracting useful values, providing judgments, suggestions, or supporting decisions. By analyzing data sets from different fields, different levels of potential values can be generated. The paper presents novel innovation model of e-commerce consumption based on big data processing and analysis technology.

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  - Xu Hongsheng
AU  - Fan Ganglong
AU  - Lv Yanqing
PY  - 2017/07
DA  - 2017/07
TI  - Novel Innovation Model of E-Commerce Consumption Based on Big Data Processing and Analysis Technology
BT  - Proceedings of the 2017 7th International Conference on Social Network, Communication and Education (SNCE 2017)
PB  - Atlantis Press
SP  - 563
EP  - 567
SN  - 2352-538X
UR  - https://doi.org/10.2991/snce-17.2017.114
DO  - 10.2991/snce-17.2017.114
ID  - Hongsheng2017/07
ER  -