Analysis of the Application of Information Technology in the Management of Rural Population Return Based on the Era of Big Data

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Author(s): Zheng Cai (School of Public Administration and Law, Northeast Agricultural University, Harbin, China)
Copyright: 2022
Volume: 34
Issue: 3
Pages: 15
Source title: Journal of Organizational and End User Computing (JOEUC)
Editor(s)-in-Chief: Sang-Bing Tsai (Wuyi University, China; International Engineering and Technology Institute (IETI), Hong Kong) and Wei Liu (Qingdao University, China)
DOI: 10.4018/JOEUC.286171

Keywords: Computer Science & IT / End-User Computing / Human Aspects of Technology / Information Science Reference

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Abstract

Based on rural population return management, governance theory, and information technology theory, this paper analyzes the specific performance of rural areas in managing population return, and describes the overview, quantity, life status, and demographic characteristics of rural population return, as well as the current situation of rural population return management. A method of managing rural population return based on a rural population return management model constructed by a machine learning algorithm is designed. The empirical results show that the method designed in this paper is low-cost, fast, and highly accurate, and is well suited for improving and expanding the system for managing rural return flows. The research in this paper provides a reference for further promoting the transformation strategy of rural governance in the context of new urbanization.

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Analysis of the Application of Information Technology in the Management of Rural Population Return Based on the Era of Big Data

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