Application Analysis of Data Mining in Power Enterprise

DOI

10.2991/ifeea-15.2016.42How to use a DOI?

Keywords

power enterprise, data mining, big data

Abstract

With the progress of the society and the development of information and communication technology, information system is rapidly expanding in various industries and fields. There are more and more data that these systems collect, process, and accumulate, and the growth rate of data volume is larger and larger, and even using "mass, explosive growth" and other words cannot describe the growth rate of data. Data mining is the technology that excavates information with potential value from vast amounts of data. This information is likely to have potential value, to support decision making, so as to bring benefit for the enterprise, or seek the breach for scientific research. Using the data mining technology with powerful functions can make manufacturing power companies convert data into useful information to help decision-making, so as to gain dominant position in the market competition. The paper briefly introduces the concept and methods of data mining, and analyzes the application and the prospect of data mining in the power enterprise.

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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TY  - CONF
AU  - Jian Tang
PY  - 2016/01
DA  - 2016/01
TI  - Application Analysis of Data Mining in Power Enterprise
BT  - Proceedings of the 2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015)
PB  - Atlantis Press
SP  - 206
EP  - 209
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeea-15.2016.42
DO  - 10.2991/ifeea-15.2016.42
ID  - Tang2016/01
ER  -