@Article{iasc.2020.013932, AUTHOR = {Fan Bingxu}, TITLE = {Design and Analysis of a Rural Accurate Poverty Alleviation Platform Based on Big Data}, JOURNAL = {Intelligent Automation \& Soft Computing}, VOLUME = {26}, YEAR = {2020}, NUMBER = {3}, PAGES = {549--555}, URL = {http://www.techscience.com/iasc/v26n3/40014}, ISSN = {2326-005X}, 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.}, DOI = {10.32604/iasc.2020.013932} }