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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/4097

Title: An Approach to Implement A Trading Network Visualizing System for Internet Auctions
Authors: Kobayashi, Masao
Ito, Takayuki
Keywords: Internet Auction
Issue Date: Nov-2007
Publisher: JAIST Press
Abstract: As Internet auctions have increased, so too has auction fraud. This paper describes the design of a system that supports fraud detection and market prediction by visualizing transaction networks on Internet auctions. Our system employs link mining techniques and user information on an Internet auction. At this stage, we successfully showed visualized trading networks by extracting trading histories from an auction site. Using a visualized graph, the system shows suspiciousness with user ID information. Also, the system presents trading relationships as a network structure in various viewpoints. Furthermore, the system possesses an explanation function on a visualized trading network that predicts which buyers and sellers are active and did better behaviors. Our preliminary experiment demonstrates that the graph presentation function is scalable enough against the number of sellers and buyers. In discussion, We considered this system from a point of view of formality and mentioned eigenvalue in particular at this time.
Description: The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html
KICSS 2007 : The Second International Conference on Knowledge, Information and Creativity Support Systems : PROCEEDINGS OF THE CONFERENCE, November 5-7, 2007, [Ishikawa High-Tech Conference Center, Nomi, Ishikawa, JAPAN]
Language: ENG
URI: http://hdl.handle.net/10119/4097
ISBN: 9784903092089
Appears in Collections:KICSS 2007

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