Hello guys,
several articles came out about a short wile ago:
http://time.com/23782/google-flu-trends-big-data-problems/
http://www.businessweek.com/articles/2014-04-17/the-flu-tricked-google-dot-can-wikipedia-do-better
http://www.nature.com/news/when-google-got-flu-wrong-1.12413
As we can see from this example, google flu tends and also a lot of other models tend to have the problem of losing their accuracy over time, the model tends to fit to good to the underlying data(curve-fitting). Is there any scientific research done in this field how to prevent this phenomenon?
Would appreciate papers/keywords!
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