Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)

The Integrating Application of Machine learning and Internet of Things (IoT)

Authors
Yanda Chen
Corresponding Author
Yanda Chen
Available Online June 2017.
DOI
https://doi.org/10.2991/ammee-17.2017.146How to use a DOI?
Keywords
Machine learning, Big data; Internet of Things; application.
Abstract
At present, the new generation of information and communication technology, represented by Internet of Things, big data and cloud computing, is developing rapidly. Internet of things technology is accelerating to intelligent medical, new energy, materials and other areas of penetration through the continuous integration with other new technologies.Machine learning concludes lots of approaches (e.g. Deep learning, GMM) for different tasks like prediction, classification, recognition etc. The common point of those approaches is that they are all data-driven. How to make data more efficient, real-time, dynamic and large-scale is what we should pay attention to.This study explores the relationship between machine learning and the Internet of Things, as well as the significance of the integration of these two technologies. Accordingly, the paper expatiates on the application of big data in the Internet of Things industry. Finally, we explored the big data technology framework in Internet of Things. The integration of big data and Internet of Things is bound to bring the intelligence of human society to a new height. Its development prospects cannot be limited.
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Proceedings
Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-350-0
DOI
https://doi.org/10.2991/ammee-17.2017.146How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yanda Chen
PY  - 2017/06
DA  - 2017/06
TI  - The Integrating Application of Machine learning and Internet of Things (IoT)
BT  - Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/ammee-17.2017.146
DO  - https://doi.org/10.2991/ammee-17.2017.146
ID  - Chen2017/06
ER  -