Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)

Data Mining of Internet of Things under the Cloud Computing Platform

Authors
Xiaoli Liu
Corresponding Author
Xiaoli Liu
Available Online March 2018.
DOI
10.2991/aetr-17.2018.80How to use a DOI?
Keywords
Cloud computing platform; Internet of things; Data mining; Application
Abstract

With the rapid development of information technology, as a key technology in the information era of the Internet of things has been widely used in various industries, and based on the cloud computing platform on the Internet of things to explore is of great significance for the application of Internet of things in the industry in the current. Based on the characteristics of Internet of things and cloud computing, this paper studies and analyzes data mining of Internet of things under cloud computing platform with a view to provide theoretical support for the application of Internet of things technology under cloud computing platform.

Copyright
© 2018, 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 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)
Series
Advances in Engineering Research
Publication Date
March 2018
ISBN
10.2991/aetr-17.2018.80
ISSN
2352-5401
DOI
10.2991/aetr-17.2018.80How to use a DOI?
Copyright
© 2018, 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  - Xiaoli Liu
PY  - 2018/03
DA  - 2018/03
TI  - Data Mining of Internet of Things under the Cloud Computing Platform
BT  - Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)
PB  - Atlantis Press
SP  - 417
EP  - 419
SN  - 2352-5401
UR  - https://doi.org/10.2991/aetr-17.2018.80
DO  - 10.2991/aetr-17.2018.80
ID  - Liu2018/03
ER  -