關鍵字查詢 | 類別:會議論文 | | 關鍵字:A Multiple-Phased Modeling Method to Identify Potential Fraudsters in Online Auctions

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序號 學年期 教師動態
1 98/2 資管系 張昭憲 副教授 會議論文 發佈 A Multiple-Phased Modeling Method to Identify Potential Fraudsters in Online Auctions , [98-2] :A Multiple-Phased Modeling Method to Identify Potential Fraudsters in Online Auctions會議論文A Multiple-Phased Modeling Method to Identify Potential Fraudsters in Online Auctions張文熙; 張昭憲淡江大學資訊管理學系IEEEComputer Research and Development, 2010 Second International Conference on,pp.186 - 190Loopholes in online auction sites enabled fraudsters to easily hide themselves. To reduce the odds of being defrauded, online auction traders usually use reputation systems for estimating a trading partner's credit. However, reported dollar losses of online auction fraud have hit recorded height for years that implies existing reputation systems may not prevent fraud effectively as expected. To reduce the risk of being defrauded, an ideal fraud detection mechanism should be not only to identify current fraudster but also potential ones. Therefore, this paper proposes a multiple-phased modeling method integrating with decision trees for enhancing the capability of fraud detection. To demonstrate the effective
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