Wednesday, December 06, 2006

Carnegie Mellon Develops Software to Uncover Auction Fraud

Carnegie Mellon University computer scientists have developed data mining techniques to help uncover the perpetrators of online auction fraud. Their method analyzes publicly available transaction histories and identifies suspicious behavior patterns and associations. The software, not yet available to the public, has been adapted to provide a trustworthiness score for individual users. Read entire story here.

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