Abstract:Big Data streams are being generated in a faster, bigger, and more commonplace. In this scenario, Hoeffding Trees are an established method for classification. Several extensions exist, including high-performing ensemble setups such as online and leveraging bagging. Also, k-nearest neighbors is a popular choice, with most extensions dealing with the inherent performance limitations over a potentially-infinite stream.At the same time, gradient descent methods are becoming increasingly popular, owing in part to … Show more
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