摘要
随着我国信息化建设的不断发展,在扶贫开发领域已经积累了大量具有实际指导意义的扶贫数据,如何有效管理和利用这些日益增长的扶贫大数据是当前亟待解决的问题。为实现高性能的扶贫大数据管理平台的建设,本文针对精准扶贫工作中产生的扶贫数据管理问题,提出基于Hadoop架构的精准扶贫大数据系统设计方案,研究使用FP-Growth算法实现精准扶贫数据的深入挖掘,保证数据的安全可靠和智能化利用,为精准扶贫工作提供有力依据。
With the continuous development of information construction in China,a large number of practical poverty alleviation data has been accumulated in the field of poverty alleviation and development.How to effectively manage and utilize these growing poverty alleviation big data is an urgent problem to be solved.In order to realize the high-performance poverty alleviation big data management platform construction,this paper proposes a design scheme for accurate poverty alleviation big data system based on Hadoop architecture for the poverty alleviation data management problem generated in the precision poverty alleviation work,and research on the use of FPGrowth algorithm to achieve in-depth mining of precise poverty alleviation data to ensure the safe,reliable and intelligent use of data,providing a strong basis for precise poverty alleviation work.
作者
冀昊悦
高迎
JI Haoyue;GAO Ying(School of Information,Capital University of Economics and Business,Beijing 100070,China)
出处
《现代信息科技》
2019年第12期18-19,22,共3页
Modern Information Technology
基金
北京市教育委员会社科计划一般项目(项目编号:SM201810038006)
首都经济贸易大学中青年骨干教师项目和北京市社会科学基金项目(项目编号:16SR B021)的资助
关键词
精准扶贫
扶贫数据管理
Hadoop架构
precision poverty alleviation
poverty alleviation data management
Hadoop architecture
