文章基本信息

标题：Visual Analysis System for Market Sales Data of Agricultural Products
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作者：Kaiyi Zhao ; Ruizhi Sun ; Chao Deng 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：17
页码：741-746
DOI：10.1016/j.ifacol.2018.08.107
语种：English
出版社：Elsevier
摘要：AbstractIn order to realize the automation of large data analysis and mining, a series of advanced algorithms, such as data cleaning and clustering, are used to deeply excavate the market sales data of agricultural and sideline products and it provide the necessary data basis for the decision layer of the enterprise. We designed and developed a visual analysis system of market sales data orients to products and business circles in the article. First, we clean and filter the original market sales data, and then establish the model based on clustering analysis in machine learning. Finally, the automatic display of analysis result views are achieved through excellent visualization framework technology. The experimental results show that in the actual sales data onto agricultural products, the characteristics of the business circle that the system automatically aggregates are obvious, and the combined display mode of the main and auxiliary views can show the characteristics of the sales data of a commercial circle from the macro and micro perspectives, respectively. It not only utilizes the ability of computer automatic analysis, but also fully exploits people’s cognitive ability of visual information and it helps people understand the information, knowledge and wisdom behind the big data of the market sales more intuitively and efficiently. Based on web visualization technology, a case of visual analysis of market sales data onto agricultural products and business circles is presented in this paper. And it has practical reference significance of other typical marketing analysis, especially for agricultural products market.
关键词：KeywordsSales data setsBusiness circlesClusteringVisualizationInteraction