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Mass data analysis and forecasting based on cloud computing
Yang, Tong ; Shia, Ben-Chang ; Wei, Jinrui ; Fang, Kuangnan ; Fang KN(方匡南)
刊名http://dx.doi.org/10.4304/jsw.7.10.2189-2195
2012
关键词Data mining Forecasting Parallel architectures Parallel processing systems
英文摘要Owing to the less limitation of Cloud Computing, different fields (such as telecommunications, tour and medical industry etc.) can combine their industrial specialty and professional skills with Internet to construct many small clouds in Cloud Computing. In addition, like many gear wheels in the machines, many small clouds support a large cloud that is composed of different services to provide users with general-purpose applications in Cloud Computing. By the concept of Parallel Computing, we build a small cloud for statistical forecasting service (FaaS, Forecasting as a Service) with integrating Cloud Computing and data mining methods based on R, PHP and MySQL. The greatest advantage on R is that it is open and free. Moreover, R code can combine with PHP code to be a web page. Furthermore, it can solve the installation and extension problems by cloud computing that makes enterprises not that 'heavy'. 漏 2012 ACADEMY PUBLISHER.
语种英语
出版者Academy Publisher
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/90210]  
专题经济学院-已发表论文
推荐引用方式
GB/T 7714
Yang, Tong,Shia, Ben-Chang,Wei, Jinrui,et al. Mass data analysis and forecasting based on cloud computing[J]. http://dx.doi.org/10.4304/jsw.7.10.2189-2195,2012.
APA Yang, Tong,Shia, Ben-Chang,Wei, Jinrui,Fang, Kuangnan,&方匡南.(2012).Mass data analysis and forecasting based on cloud computing.http://dx.doi.org/10.4304/jsw.7.10.2189-2195.
MLA Yang, Tong,et al."Mass data analysis and forecasting based on cloud computing".http://dx.doi.org/10.4304/jsw.7.10.2189-2195 (2012).
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