基于R+HADOOP移动大数据的商圈分析  

Analysis of mobile big data shopping area based on R + Hadoop

作　　者：严南[1] 温爱红[1] YAN Nan;WEN Ai-hong(School of Engineering ＆ Technology,Chengdu University of Technology,Leshan 614007,Sichuan Province,China)

机构地区：[1]成都理工大学工程技术学院,四川乐山614007

出　　处：《信息技术》2018年第6期95-99,共5页Information Technology

基　　金：四川省教育厅科研项目(15ZB0366)

摘　　要：从手机定位数据智能化分析角度出发,借助大数据技术研究手机用户的时间序列数据,从而快速、准确地识别出高价值商圈。文中通过移动基站收集的定位数据,利用分布式处理领域功能强大的Hadoop和在数理统计方面有优秀表现的R语言融合,快速、准确地分析出具有高价值区域,并对分析结果可视化。研究结果表明,针对手机用户产生的数据量大,数据实时性强特点,基于R+Hadoop的框架能实时、快速地寻找到高价值商圈,为企业的未来经营活动提供了良好的保障。From the point of view of intelligent analysis of mobile phone location data,the large data technology is used to study the time series data of mobile phone users,so as to identify the high-value shopping area quickly and accurately. The positioning data collected by mobile base station,using Hadoop powerful distributed processing field and has excellent performance in the statistical aspects of the R language integration,fast and accurate analysis of high value region,and the results of visualization.The research results show that for the mobile phone user generated a large amount of data,data real-time features,the R ＋ Hadoop framework can timely and quickly find high value district,provides good protection for the future of business activities.

关 键 词：数据挖掘 大数据 HADOOP R 层次聚类 商圈 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]