A Set-based Visual Analytics Approach to Analyze Retail Data

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Date
2018
Authors
Adnan, Muhammad
Ruddle, Roy A.
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
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.
Description

        
@inproceedings{
10.2312:eurova.20181110
,
booktitle = {
EuroVis Workshop on Visual Analytics (EuroVA)
},
editor = {
Christian Tominski and Tatiana von Landesberger
},
title = {{
A Set-based Visual Analytics Approach to Analyze Retail Data
}},
author = {
Adnan, Muhammad
 and 
Ruddle, Roy A.
},
year = {
2018
},
publisher = {
The Eurographics Association
},
ISBN = {
978-3-03868-064-2
},
DOI = {
10.2312/eurova.20181110
}
}
Citation
URI
https://doi.org/10.2312/eurova.20181110
 https://diglib.eg.org:443/handle/10.2312/eurova20181110
Collections
EuroVA18