Research Article
Economic Data Analysis Based on Data Mining
@INPROCEEDINGS{10.4108/eai.28-10-2022.2328441, author={Hongpo Wang and Shuai Shao and Lingyun Gao}, title={Economic Data Analysis Based on Data Mining}, proceedings={Proceedings of the International Conference on Financial Innovation, FinTech and Information Technology, FFIT 2022, October 28-30, 2022, Shenzhen, China}, publisher={EAI}, proceedings_a={FFIT}, year={2023}, month={4}, keywords={economic data; data mining; regression}, doi={10.4108/eai.28-10-2022.2328441} }- Hongpo Wang
Shuai Shao
Lingyun Gao
Year: 2023
Economic Data Analysis Based on Data Mining
FFIT
EAI
DOI: 10.4108/eai.28-10-2022.2328441
Abstract
With the development of equipment technology, the cost of equipment development is rising too. How to reasonably plan, manage and use the cost of equipment is the concern of equipment management departments and researchers. Data mining technology can find the necessary information from the equipment economic data, which is of great significance to improve the cost-effectiveness. In view of the difficulty in estimating the funds in the project demonstration stage, this paper first uses the correlation analysis method to study the correlation between the normalized eight cost data and the total cost, removes the cost items with weak correlation, and only retains the design person year ratio, material person year ratio, test person year ratio and the total cost person year ratio as the later research object. Next, through cluster analysis, it is found that the aggregation degree of material man year ratio and total cost man year ratio is the best, and the relationship is approximately linear. Then, the 1~5 order regression model is established by using the least square method. Finally, the regression model is verified based on the project data.