Proceedings of the 2016 International Conference on Advanced Materials Science and Environmental Engineering

Grid Project Cost Control Research Based on Data Mining

Authors
Yan Peng, Yang Ding, Yuanmei Yu
Corresponding Author
Yan Peng
Available Online April 2016.
DOI
https://doi.org/10.2991/amsee-16.2016.75How to use a DOI?
Keywords
data mining; grid project cost; cost control
Abstract

As the prevalence of the Internet +and big data, Chinese construction industry, especially, such as grid construction that it is high -investment projects. They are actively reform, strengthen project cost management, to adapt to the new requirements of the times. The paper analyzed and assessed grid project cost from the perspective of data mining, and elaborating it in detail from the whole process of the project cost, putting forward reasonable proposals for cost control.

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 International Conference on Advanced Materials Science and Environmental Engineering
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/amsee-16.2016.75
ISSN
2352-5401
DOI
https://doi.org/10.2991/amsee-16.2016.75How 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  - Yan Peng
AU  - Yang Ding
AU  - Yuanmei Yu
PY  - 2016/04
DA  - 2016/04
TI  - Grid Project Cost Control Research Based on Data Mining
BT  - Proceedings of the 2016 International Conference on Advanced Materials Science and Environmental Engineering
PB  - Atlantis Press
SP  - 285
EP  - 288
SN  - 2352-5401
UR  - https://doi.org/10.2991/amsee-16.2016.75
DO  - https://doi.org/10.2991/amsee-16.2016.75
ID  - Peng2016/04
ER  -