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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