Application of Big Data Technology in the Reform and Reconstruction of Administrative Management System
- DOI
- 10.2991/978-94-6463-040-4_201How to use a DOI?
- Keywords
- big data; administrative system; reform; reshaping
- Abstract
With the emergence and rapid development of information technologies such as "Internet of Things", "Internet +" and "cloud computing" in recent years, human work and life style have undergone major changes, and human beings are gradually stepping into the —— big data era in the social stage with a higher degree of informatization. Especially in the administrative management of our country's government, China is currently actively carrying out the application of big data work, so as to better carry out the administrative management work. This paper on the application of big data and administrative management system reform, analyzes the opportunities and challenges facing the reform of administrative management system, how countries should seize the opportunities of The Times, scientific use of big data to further upgrade the management mode to make the management mechanism more perfect, to lay a good foundation for the better development of modern society.
- 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 - Yuxiang Luo PY - 2022 DA - 2022/12/27 TI - Application of Big Data Technology in the Reform and Reconstruction of Administrative Management System BT - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022) PB - Atlantis Press SP - 1352 EP - 1357 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-040-4_201 DO - 10.2991/978-94-6463-040-4_201 ID - Luo2022 ER -