Data stream classification using random feature functions and novel method combinations

Diego Marron, Jesse Read, Albert Bifet, Nacho Navarro

Abstract: Highlights•We apply random feature functions to improve data streaming learners.•We improve Hoeffding tree, nearest neighbor, and gradient descent methods.•We further extend to GPU and neural networks using a random projection layer.•We get encouraging positive results on realworld datasets.•We highlight important issues and promising future work in streaming classification.