Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)

Research on Data Mining Technology of Company Operation Monitoring

Authors
Guang  Chen, Ju Qiu, Tingzi Pan, Dongxiao Niu, Di Pu, Zhao Zhao, Haini Haini, Lihan Qin
Corresponding Author
Guang  Chen
Available Online May 2018.
DOI
10.2991/snce-18.2018.15How to use a DOI?
Keywords
Power grid corp operation monitoring; Data mining technology; Index system construction; Database building
Abstract

This paper mainly studies the operation monitoring data mining technology of Power Grid Company. In order to meet the need of operation monitoring business in the era of big data, this paper deeply studies the data mining technology suitable for company operation monitoring, builds a database of data mining technology and forms a data mining technology subject database according to the different application of company operation monitoring data mining technology to solve the problem of data mining for the operation and monitoring business. The research on the company's operation monitoring data mining technology helps company analyze the laws and trends of operation monitoring business, promote the company's quantitative decision-making and enhance the company's decision-making efficiency. At the same time, this study can reduce duplication of resources, increase the value of data assets, and ultimately improve the lean operation and management of power grid.

Copyright
© 2018, 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 8th International Conference on Social Network, Communication and Education (SNCE 2018)
Series
Advances in Computer Science Research
Publication Date
May 2018
ISBN
978-94-6252-505-4
ISSN
2352-538X
DOI
10.2991/snce-18.2018.15How to use a DOI?
Copyright
© 2018, 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  - Guang  Chen
AU  - Ju Qiu
AU  - Tingzi Pan
AU  - Dongxiao Niu
AU  - Di Pu
AU  - Zhao Zhao
AU  - Haini Haini
AU  - Lihan Qin
PY  - 2018/05
DA  - 2018/05
TI  - Research on Data Mining Technology of Company Operation Monitoring
BT  - Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)
PB  - Atlantis Press
SP  - 72
EP  - 80
SN  - 2352-538X
UR  - https://doi.org/10.2991/snce-18.2018.15
DO  - 10.2991/snce-18.2018.15
ID  - Chen2018/05
ER  -