Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)

Research on Date Mining Service Mode under the Environment of Cloud Computing

Authors
Wei Huang
Corresponding Author
Wei Huang
Available Online February 2017.
DOI
10.2991/emcm-16.2017.129How to use a DOI?
Keywords
Cloud computing; Data mining; Service; Mode; Exploration
Abstract

Along with the arrival of information era, the network is inundated with all kinds of information, and people are facing various kinds of confusion among the mass information, data analysis becomes a relatively hot potato. The proposal of cloud computing is able to well solve this problem and improve the efficiency of data mining greatly. In order to make people have more profound understanding about the date mining service mode under the environment of cloud computing, and also with the aim of providing certain reference significance for relevant research in future, this paper will combine with the practice of current data mining service, and carry out exploration towards the data mining mode under the environment of cloud computing as well.

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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Volume Title
Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
Series
Advances in Computer Science Research
Publication Date
February 2017
ISBN
978-94-6252-297-8
ISSN
2352-538X
DOI
10.2991/emcm-16.2017.129How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Wei Huang
PY  - 2017/02
DA  - 2017/02
TI  - Research on Date Mining Service Mode under the Environment of Cloud Computing
BT  - Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-16.2017.129
DO  - 10.2991/emcm-16.2017.129
ID  - Huang2017/02
ER  -