Research Article
Research and Analysis of Data Modeling in Economic Management Based on the Background of Artificial Intelligence Technology
@INPROCEEDINGS{10.4108/eai.19-5-2023.2334421, author={Yuxin Feng and Mingchen Mao and Xiaolin Li}, title={Research and Analysis of Data Modeling in Economic Management Based on the Background of Artificial Intelligence Technology}, proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China}, publisher={EAI}, proceedings_a={ICBBEM}, year={2023}, month={7}, keywords={artificial intelligence; economic management; data modeling; economic growth}, doi={10.4108/eai.19-5-2023.2334421} }- Yuxin Feng
Mingchen Mao
Xiaolin Li
Year: 2023
Research and Analysis of Data Modeling in Economic Management Based on the Background of Artificial Intelligence Technology
ICBBEM
EAI
DOI: 10.4108/eai.19-5-2023.2334421
Abstract
In the face of the massive amount of data constantly generated, people hope to reveal the potential patterns of things and discover knowledge with important value. However, the existence of missing data not only increases the difficulty of data mining, but also reduces the reliability of analysis results. Rational filling of missing values has become a very important part of current data analysis and mining. In this paper, we use data modeling to fill the missing values in incomplete data, and construct a model to mine the association relationship between data attributes, with the goal of improving the model's ability to approximate the association relationship between incomplete data attributes. The research in this paper completely combines big data context modeling and economic growth for application and research, and makes a new breakthrough and analysis in a new research area and a new research direction.
