Journal Article10.1016/J.DSS.2005.01.001
Exploring auction databases through interactive visualization
Galit Shmueli,Wolfgang Jank,Aleks Aris,Catherine Plaisant,Ben Shneiderman +4 more
- 01 Dec 2006
- Vol. 42, Iss: 3, pp 1521-1538
TL;DR: A process for visual data analysis is proposed and AuctionExplorer's operations are illustrated with a dataset of eBay auctions, to improve seller, bidder, auction house, and other vendors' understanding of the market, thereby assisting their decision making process.
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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.
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Functional Data Analysis in Electronic Commerce Research
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TL;DR: It is argued that the wedding of eCommerce with FDA leads to innovations both in statistical methodology, due to the challenges and complications that arise in eCommerce data, and in online research, by being able to ask new research questions that classical statistical methods are not able to ad- dress.
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Wolfgang Jank,Galit Shmueli +1 more
TL;DR: In this paper, the authors describe opportunities and challenges of using functional data analysis (FDA) for the exploration and analysis of data originating from electronic commerce (eCommerce) and discuss the special data structures that arise in the online environment.
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