Research on Improved Model of Electronic Commerce Data Mining Based on big Data Technology

DOI

10.2991/snce-17.2017.10How to use a DOI?

Keywords

Big data; Data mining; Hadoop; MapReduce; Electronic commerce

Abstract

Big data collection is the use of multiple databases to receive data from the client, and users can use these databases for simple queries and processing. Big data is pointing to massive, comprehensive, highly correlated complex data forms. At present, most Internet companies use Hadoop's HDFS distributed file system to store data and analyze them using MapReduce. Statistics and analysis mainly use distributed database or distributed computing cluster to analyze and classify the mass data stored in it. The paper presents research on improved model of electronic commerce data mining based on big data 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  - Li Ke
PY  - 2017/07
DA  - 2017/07
TI  - Research on Improved Model of Electronic Commerce Data Mining Based on big Data Technology
BT  - Proceedings of the 2017 7th International Conference on Social Network, Communication and Education (SNCE 2017)
PB  - Atlantis Press
SP  - 48
EP  - 52
SN  - 2352-538X
UR  - https://doi.org/10.2991/snce-17.2017.10
DO  - 10.2991/snce-17.2017.10
ID  - Hongsheng2017/07
ER  -