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Of course, the big data analysis algorithms of traffic networks will be more modest than those of Facebook, so it is too early to dream of powerful optimization. If the user data matches the advertiser’s settings, the DSP makes a bid. The process of collecting and extracting data is called datamining.
From time to time I try to compete in datamining contests (Netflix, competitions on Kaggle and tunedit.org) — from my perspective it is a very good way to get real datamining experience. Originally published at blog.kaggle.com on February 17, 2011. So my solution required me to build 61x10=610 regression models.
In 2009 and 2010, I participated the UCSD/FICO datamining contests. What I tried and What ended up working I tried many different algorithms (mainly weka and matlab implementations) and feature sets in nearly 80 submissions. What tools I used Software/Tools used for modelling and data analysis: Weka 3.7.1
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