Abstract
Recently, the online auction has become a popular Internet service. Since the service has been expanded rapidly, security risks in the system remain. Fundamental measures are still required. This paper proposes a method for detecting shill bidders in online auctions. It first detects outliers with a one-class SVM. It then transforms the results into a decision tree using C4.5. The experiment results demonstrate that we can use the resulting rules to classify shill bidders.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Wolfstetter, E.: Auctions: An Introduction. Journal of Economic Surveys 10, 367–420 (2002)
Trevathan, J., Read, J.: A Simple Shill Bidding Agent. In: 4th International Conference on Information Technology - New Generations, pp. 933–937 (2007)
Yokoo, M., Hirayama, K.: Algorithms for distributed constraint satisfaction: A review. Autonomous Agents and Multi-Agent Systems. Algorithms for Distributed Constraint Satisfaction 3(2), 185 (2000)
Matsuo, T., Ito, T., Day, R.W., Shintani, T.: A Robust Combinatorial Auction Mechanism based on Detecting Shill Bidders against Fraud Bids. In: The 20th Annual Conference of the Japanese Society for Artificial Intelligence (2006)
Lim, D., Anthony, P., Chon, M.H.: Agent for Predicting Online Auction Closing Price in a Simulated Auction Environment. In: Ho, T.-B., Zhou, Z.-H. (eds.) PRICAI 2008. LNCS (LNAI), vol. 5351, pp. 223–234. Springer, Heidelberg (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yoshida, T., Ohwada, H. (2010). Shill Bidder Detection for Online Auctions. In: Zhang, BT., Orgun, M.A. (eds) PRICAI 2010: Trends in Artificial Intelligence. PRICAI 2010. Lecture Notes in Computer Science(), vol 6230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15246-7_33
Download citation
DOI: https://doi.org/10.1007/978-3-642-15246-7_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15245-0
Online ISBN: 978-3-642-15246-7
eBook Packages: Computer ScienceComputer Science (R0)