Vol.26, No.3, 2020, pp.549-555, doi:10.32604/iasc.2020.013932
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, di1367@163.com
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
Bingxu, F. (2020). Design and Analysis of a Rural Accurate Poverty Alleviation Platform Based on Big Data. Intelligent Automation & Soft Computing, 26(3), 549–555.
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