Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

Construction of multi tier distributed computing data mining system in cloud computing environment

Authors
Wendong Xia, Yuanfeng Liu, Deli Chen
Corresponding Author
Wendong Xia
Available Online May 2017.
DOI
10.2991/msmee-17.2017.301How to use a DOI?
Keywords
cloud computing; distributed; data mining; system building; big data
Abstract

multi-source data mining system based on cloud computing service mode is designed in combination with three-layer and four-mode cloud computing service level system targeting such problems as underutilized multi-source distributed data and low data processing efficiency. Firstly, the technical flow of multi-source distributed data mining is elaborated; secondly, the cloud computing service level system is introduced to the system building and multi-source distributed data mining system frame in cloud computing environment is designed; finally, main features of this system are introduced in details, which lays foundation for further study on multi-source distributed data mining system.

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 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
10.2991/msmee-17.2017.301
ISSN
2352-5401
DOI
10.2991/msmee-17.2017.301How 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  - Wendong Xia
AU  - Yuanfeng Liu
AU  - Deli Chen
PY  - 2017/05
DA  - 2017/05
TI  - Construction of multi tier distributed computing data mining system in cloud computing environment
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 1664
EP  - 1667
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.301
DO  - 10.2991/msmee-17.2017.301
ID  - Xia2017/05
ER  -