Adaptive Parameter-free Learning from Evolving Data Streams

  title={Adaptive Parameter-free Learning from Evolving Data Streams},
  author={Albert Bifet and Ricard Gavald{\`a}},
We propose and illustrate a method for developing algorithms that can adaptively learn from data streams that change over time. As an example, we take Hoeffding Tree, an incremental decision tree inducer for data streams, and use as a basis it to build two new methods that can deal with distribution and concept drift: a sliding window-based algorithm, Hoeffding Window Tree, and an adaptive method, Hoeffding Adaptive Tree. Our methods are based on using change detectors and estimator modules at… CONTINUE READING


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