Grad Student Scores Federal Grant for Click Fraud Research

Written on
Dec 28, 2006 
Sarah Novotny  |

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.

The government hopes that Ge’s research into click-fraud detection will be applicable across a broad range of other industries. The grant’s abstract reads: “The new data mining techniques discovered during the course of this research will be applied in multiple fields related to online business marketing, user analysis and other fraud identification processes.”

The STTR is designed to award government money to small businesses and organizations that don’t have the resources to compete for full-scale government grants. Depending on the future results of Ge’s research, he may be eligible for a Phase II grant worth up to $750,000.

Sarah Novotny is a contributing editor at Adotas. Sarah grew up in San Jose, California. Her educational and professional career have taken her to both Los Angeles and New York City where she received a B.F.A. from NYU. As a writer, Sarah has free-lanced for various publications focusing primarily on traditional advertising and media reviews. When not writing and editing for Adotas, Sarah is continuing her acting career in various theatrical and film/television productions.

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