摘要
为解决我国烟草市场大数据中存在的体量大、维度多、分析难等问题,提出了一种基于时空网格的大数据处理及可视化方法。通过构建时空网格对烟草市场数据进行预处理,降低数据样本数量及维度;再通过时空网格计算和多种可视化技术对烟草市场发展态势进行可视化展示,实现快速、交互、可视的烟草市场大数据分析与挖掘。以烟草行业下行数据为实例分析了我国细支烟的发展态势,选取的3个规格细支烟的市场销售态势与全国细支烟销售态势基本一致;以广西中烟工业有限责任公司"真龙(珍品)"卷烟的销售数据为实例,展示了该规格卷烟在不同时段的销售态势。该方法可为提高卷烟企业分析市场的能力与效率提供技术支持。
The analysis of tobacco market big data is a challenge due to its huge volume and multiple dimensions,a big data processing and visualization approach based on spatial-temporal grid was proposed.The market data are preprocessed by constructing a spatial-temporal grid to reduce the quantity and dimension of data sample; further,the developing trends of tobacco market are visualized via spatial-temporal grid calculation and multiple visualization technologies to achieve an effective,interactive and visualized analysis of tobacco market big data.The real market data of tobacco industry were analysed by the proposed approach to investigate the developing trends of slim cigarette products,and the results showed that the sales situation of three selected variants of slim cigarette basically agreed with that of total slim cigarette market in China.The real sales data of cigarette brand"Zhenlong(Zhenpin)"manufactured by China Tobacco Guangxi Industrial Limited Corporation were also analysed to demonstrate its sales situation at different periods.The proposed approach provides technical supports for promoting the ability and efficiency of cigarette enterprises in market analysis.
作者
邓超
孙瑞志
陈智斌
郭晓惠
农英雄
覃宜霜
赵凯艺
武倩婻
李思聪
DENG Chao;SUN Ruizhi;CHEN Zhibin;GUO Xiaohui;NONG Yingxiong;QIN Yishuang;ZHAO Kaiyi;WU Qiannan;LI Sicong(College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China;China Tobacco Guangxi Industrial Co.,Ltd.,Nanning 530001,China;Key Laboratory of Agricultural Information Acquisition Technology,Ministry of Agriculture,Beijing 100083,China)
出处
《烟草科技》
EI
CAS
CSCD
北大核心
2018年第6期106-112,共7页
Tobacco Science & Technology
基金
中央高校基本科研业务费专项资金资助项目"农业大数据关键技术研究"(2017XD003)
关键词
烟草市场
销售态势
大数据
可视化
时空网格
Tobacco market
Sales situation
Big data
Visualization
Spatial-temporal grid