EuroVA18

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https://diglib.eg.org/handle/10.2312/2632398

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Browsing EuroVA18 by Subject "Data mining"

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    A Set-based Visual Analytics Approach to Analyze Retail Data
    (The Eurographics Association, 2018) Adnan, Muhammad; Ruddle, Roy A.; Christian Tominski and Tatiana von Landesberger
    This paper explores how a set-based visual analytics approach could be useful for analyzing customers' shopping behavior, and makes three main contributions. First, it describes the scale and characteristics of a real-world retail dataset from a major supermarket. Second, it presents a scalable visual analytics workflow to quickly identify patterns in shopping behavior. To assess the workflow, we conducted a case study that used data from four convenience stores and provides several insights about customers' shopping behavior. Third, from our experience with analyzing real-world retail data and comments made by our industry partner, we outline four research challenges for visual analytics to tackle large set intersection problems.