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

机译:基于大数据的农村准确扶贫平台的设计与分析

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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-reduce-based 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.
机译:扶贫一直是中国工作的重点。根据调查,农村地区的贫困人口在很大程度上减少,失业者在历史上有最低的历史记录。大数据技术是近年来一直慢慢出现的新技术。使用大数据技术为农村扶贫创造视觉平台是在这个阶段的一个相对较新的想法。我们使用地图 - 减少基于的大数据缺失值填充算法,旨在解决查询过程中的数据丢失现象。它大大提高了搜索质量,并改善了当前平台中的一系列问题,以准确扶贫和可视化。

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