Exploring auction databases through interactive visualization

Authors:
Galit Shmueli;Wolfgang Jank;Aleks Aris;Catherine Plaisant;Ben Shneiderman
Affiliations:
Department of Decision and Information Technologies, School of Business, University of Maryland, MD;Department of Decision and Information Technologies, School of Business, University of Maryland, MD;Human-Computer Interaction Laboratory, Institute for Advanced Computer Studies, University of Maryland, MD and Department of Computer Science, University of Maryland, MD;Human-Computer Interaction Laboratory, Institute for Advanced Computer Studies, University of Maryland, MD;Human-Computer Interaction Laboratory, Institute for Advanced Computer Studies, University of Maryland, MD and Department of Computer Science, University of Maryland, MD and Institute for Systems ...
Venue:
Decision Support Systems
Year:
2006

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Abstract

We introduce AuctionExplorer, a suite of tools for exploring databases of online auctions. The suite combines tools for collecting, processing, and interactively exploring auction attributes (e.g., seller rating), and the bid history (price evolution represented as a time series). Part of AuctionExplorer's power comes from its coupling of the two information structures, thereby allowing exploration of relationships between them. Exploration can be directed by hypothesis testing or exploratory data analysis. We propose a process for visual data analysis and illustrate AuctionExplorer's operations with a dataset of eBay auctions. Insights may improve seller, bidder, auction house, and other vendors' understanding of the market, thereby assisting their decision making process.