Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

Research on Data Mining Algorithm and Its Application in Cloud Environment

Authors
Bin Li
Corresponding Author
Bin Li
Available Online December 2016.
DOI
https://doi.org/10.2991/iceeecs-16.2016.28How to use a DOI?
Keywords
Data Mining Algorithm, Application, Cloud Environment
Abstract

In recent years, the rapid development of the Internet and computer-related technologies, including photography, video, e-commerce, etc., so that the data generated around us was the explosive growth, especially after the rise of the smart phone mobile Internet technology as the representative of others obvious. Faced with such a large-scale data analysis and data processing become a huge problem, which would give the opportunity to the development of data mining. Data mining can extract valuable information from users of these massive, heterogeneous, random data found interesting user mode.

Copyright
© 2016, 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 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-265-7
ISSN
2352-538X
DOI
https://doi.org/10.2991/iceeecs-16.2016.28How to use a DOI?
Copyright
© 2016, 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  - Bin Li
PY  - 2016/12
DA  - 2016/12
TI  - Research on Data Mining Algorithm and Its Application in Cloud Environment
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 126
EP  - 129
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.28
DO  - https://doi.org/10.2991/iceeecs-16.2016.28
ID  - Li2016/12
ER  -