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Identifying Click Fraud

MERRICK, NY–(Marketwire – April 15, 2016) – New research published in the Conference Proceedings of the Northeast Decision Science Institute, proposed and analyzed a unique method for attempting to identify click fraud traffic to websites. The research conducted by Nooshin Nejati and Dr. Alexander Pelaez, proposed examining immediate behaviors of activity, i.e. clicks and time between clicks, to identify “dark traffic”. According to the New York Times (Dec 9, 2014, L. Kaufman), click fraud cost companies over $6 Billion dollars annually (2015 estimate). “Click Fraud detection in not only important for advertising base businesses, but is also a key factor for any other technology related business to eliminate fraud activities before further data analysis influences business decisions prematurely”, said Ms. Nejati.

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