Adnan, M orcid.org/0000-0001-7706-6604 and Ruddle, R (2018) A set-based visual analytics approach to analyze retail data. In: Proceedings of the EuroVis Workshop on Visual Analytics (EuroVA18). 9th International EuroVis Workshop on Visual Analytics, 04-08 Jun 2018, Brno, Czech Republic. The Eurographics Association ISBN 978-3-03868-064-2
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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2018, The Author(s). Eurographics Proceedings (c) 2018, The Eurographics Association. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/N013980/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Jun 2018 09:40 |
Last Modified: | 31 Oct 2018 10:03 |
Published Version: | https://diglib.eg.org/handle/10.2312/eurova2018111... |
Status: | Published |
Publisher: | The Eurographics Association |
Identification Number: | 10.2312/eurova.20181110 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:131939 |