Briefs

Graduate student Li Ge of the University of Louisville has been given a $149,923 grant from the National Science Foundation (NSF) to pursue his work in data mining and click-fraud detection.

The grant is part of Phase I of the NSF�s Small Business Technology Transfer program (STTR). Ge has been working on his �Collaborative Click Fraud Detection and Prevention System� project since May 2005 and uses data mining techniques to identify fraudulent clicks based on real-time user behavior. Ge�s system is designed to detect fraudulent clicks generated by automated bots instead of real customers, something that is too complex for most click-fraud detection systems currently on the market. The grant will cover his research through December 2007.

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