Jorge David Destephen Lavaire

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Big Data presents challenges for predictive analytic algorithms due to the possibility of non-stationary populations. Concept drift detection algorithms can be used to detect changes in underlying distribution in order to retrain. Most concept drift detection methods are known to scale to a relatively low number of features (a few hundred). However, in many(More)
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