Open Access
ARTICLE
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
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. https://doi.org/10.32604/iasc.2020.013932