Research on the design and implementation of economic data analysis system based on big data background

DOI

10.2991/978-94-6463-270-5_41How to use a DOI?

Keywords

Big data; economic data analysis; system implementation; network neural

Abstract

This paper mainly introduces the process of analyzing regional economy with academic data. First, we set the perspective of academic data to analyze the regional economy, and selected the scholar activity and the diversity of scholar cooperation to analyze the economic situation; at the same time, we constructed the indicators of the scholar activity and the diversity of scholar cooperation. Secondly, we analyzed the correlation between academic data and regional economic conditions from the set research perspectives by using Pearson’s coefficient and Spearman's coefficient; moreover, we constructed a network of collaborators for the relationship between scholars’ collaborations. This paper is based on the new big data processing technology, under the support of the big data background of the economic data analysis of the combination of research, under the support of certain technologies, combined with the technology of neural networks on the economic research and design, in the fusion of the research of the aspects of a certain breakthrough.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - ZiXin Yin
PY  - 2023
DA  - 2023/10/29
TI  - Research on the design and implementation of economic data analysis system based on big data background
BT  - Proceedings of the 3rd International Conference on Internet Finance and Digital Economy (ICIFDE 2023)
PB  - Atlantis Press
SP  - 372
EP  - 377
SN  - 2667-1271
UR  - https://doi.org/10.2991/978-94-6463-270-5_41
DO  - 10.2991/978-94-6463-270-5_41
ID  - Yin2023
ER  -