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.
Cite this article
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 -