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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Dispelling illusions using Visualizations

Visualizations are a great data exploration technique. Our human minds are better able to understand and retain visuals than scripts or text. Visualizations, apart from giving us a good general overview of the data, entail us with an intuitive understanding of the distribution of the dataset and its trends.
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Trust your instincts

Recently, an executive at an online media firm had asked me to take a look at some data. His team had found some interesting results using some correlations of data points for his web activity. Unfortunately, he wasn’t convinced of what they were saying, because his intuition was telling him otherwise. However, he couldn’t refute the analysis, it was fairly sound. He decided to get another opinion. Continue reading Trust your instincts