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Design and Analysis of a Rural Accurate Poverty Alleviation Platform Based on Big Data

Fan Bingxu*
Research Center for Energy Economics, School of Business Administration, HPU Jiaozuo 454000
Address: 2001 Century Avenue, Jiaozuo High-Tech Zone, Henan Province, China
* Corresponding Author: Fan Bingxu,

Intelligent Automation & Soft Computing 2020, 26(3), 549-555. https://doi.org/10.32604/iasc.2020.013932

Abstract

Poverty alleviation has always been the focus of China's work. According to the survey, the poverty population in rural areas has been reduced to a large extent, and the unemployed have had the lowest historical record in history. Big data technology is a new technology that has slowly emerged in recent years. The use of big data technology to create a visual platform for rural poverty alleviation is a relatively new idea at this stage. And we use the Map-reducebased big data missing value filling algorithm, which is designed to solve the data loss phenomenon in the query process. It greatly improves search quality and improves a series of problems in the current platform for accurate poverty alleviation and visualization.

Keywords

Big data technology; missing data filling algorithm; rural poverty alleviation platform

Cite This Article

F. Bingxu, "Design and analysis of a rural accurate poverty alleviation platform based on big data," Intelligent Automation & Soft Computing, vol. 26, no.3, pp. 549–555, 2020.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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