文章基本信息

标题：Multi-dimensional Information Visualization Analysis of Business Circles and Products Based on Density Clustering
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作者：Qiannan Wu ; Chao Deng ; Ruizhi Sun 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：811-816
DOI：10.1016/j.ifacol.2018.08.095
语种：English
出版社：Elsevier
摘要：AbstractModern agricultural products and FMCG industries are concerned about how to gain insight into market status information, product sales trends, and user characteristics from market sales data, so as to provide consumers with personalized product services. However, sales information often has the following characteristics: large amount of data, multiple data dimensions, varying values, and rapid changes in market information, and traditional analysis methods are difficult to analyze and use effectively. A multi-dimensional information visual analysis of shopping districts and products based on density clustering is proposed. Firstly, density-based clustering is applied to the geographic information on a large number of market retail households, and the most valued business district is obtained according to the multi-density ranking. Then use the user ID to associate order details to get a data-driven small targeted dataset. Finally, using a variety of visualization methods, multi-angle visualization analysis of multi-dimensional information is analyzed with business circles and products as the main body. Use real data onto case analysis. This analysis method can effectively reflect the laws of the sales market, development model, and consumption structure. It helps manufacturers and retailers to grasp the dynamic information and laws of market development in a timely manner and achieve the purpose of precision marketing and smart decision-making.
关键词：KeywordsVisual analysisMulti-dimensional dataDensity-based clusteringBusiness circlesAccurate salesSmart decision