Application of data mining technology in power marketing data analysis system

Jia-ning Xu; Wei Zhang; Fei Lou; Qi-rui Chen; Ying Jiang

doi:10.1117/12.2660691

16 December 2022 Application of data mining technology in power marketing data analysis system

Jia-ning Xu, Wei Zhang, Fei Lou, Qi-rui Chen, Ying Jiang

Proceedings Volume 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022); 125004C (2022) https://doi.org/10.1117/12.2660691
Event: 5th International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 2022, Chongqing, China

Abstract

In order to further improve the level of analysis and application of power marketing data, in this research, based on the emerging data mining technology, starting with the overall architecture, several important components of the power marketing data analysis system, such as function module, database and security design are gradually designed, and the design effect is tested. The test results show that the power marketing data analysis system based on data mining technology is excellent in performance and security, which proves that the design has achieved initial success.

Citation Download Citation

Jia-ning Xu, Wei Zhang, Fei Lou, Qi-rui Chen, and Ying Jiang "Application of data mining technology in power marketing data analysis system", Proc. SPIE 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 125004C (16 December 2022); https://doi.org/10.1117/12.2660691

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available