Taha Yasseri
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Taha Yasseri

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The use of socially generated “big data” from our daily activities has become a new technique to understand and predict our collective behaviours. Big data techniques have multifarious applications — for example predicting flu outbreaks based on the volume of tweets mentioning flu-related keywords, understanding the patterns of human mobility

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Dataconomy published an article earlier this month, where Taha Yasseri outlined his research on predicting movie box office success based on Wikipedia activity data. Taha’s research is not only unique but also groundbreaking. He was able to predict box office revenues with an overall accuracy of 77 percent, which is

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My colleagues and I have devised a mathematical model which can be used to predict films that become blockbusters or flops at the box office – up to a month before the movie is released. Our model is based on an analysis of the activity on Wikipedia pages about American

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