Research on the Operation System of Chinese Performance Market Based on Data Mining Technology

Yong Wang, Nam-gyuCho

2022

Abstract

The rapid development of computer technology makes it possible to process data, which promotes the great development of database technology. Data mining is a data processing technology developed to meet this need. In order to solve the problems faced by China’s performance market at present, the author explores and analyzes the operation mode of the performance market. According to the present situation of China’s performance market operation, a performance market operation system based on data mining technology is designed by using database modeling technology and OLAP technology, and the structure and module composition of the system are discussed in depth. The system runs stably and the data statistics are processed accurately, which plays a positive role in promoting the performance industry to broaden new business markets.

Paper Citation

in Harvard Style

Wang Y. and Nam-gyuCho. (2022). Research on the Operation System of Chinese Performance Market Based on Data Mining Technology. In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI; ISBN 978-989-758-620-0, SciTePress, pages 311-316. DOI: 10.5220/0011735500003607

in Bibtex Style

@conference{icpdi22,
author={Yong Wang and Nam-gyuCho},
title={Research on the Operation System of Chinese Performance Market Based on Data Mining Technology},
booktitle={Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI},
year={2022},
pages={311-316},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011735500003607},
isbn={978-989-758-620-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI
TI - Research on the Operation System of Chinese Performance Market Based on Data Mining Technology
SN - 978-989-758-620-0
AU - Wang Y.
AU - Nam-gyuCho.
PY - 2022
SP - 311
EP - 316
DO - 10.5220/0011735500003607
PB - SciTePress