Now showing items 1-2 of 2

  • On dynamic feature weighting for feature drifting data streams

    Barddal, Jean Paul; Gomes, Heitor Murilo; Enembreck, Fabricio; Pfahringer, Bernhard; Bifet, Albert (Springer, 2016)
    The ubiquity of data streams has been encouraging the development of new incremental and adaptive learning algorithms. Data stream learners must be fast, memory-bounded, but mainly, tailored to adapt to possible changes ...
  • A survey on feature drift adaptation: Definition, benchmark, challenges and future directions

    Barddal, Jean Paul; Gomes, Heitor Murilo; Enembreck, Fabricio; Pfahringer, Bernhard (Elsevier, 2017)
    Data stream mining is a fast growing research topic due to the ubiquity of data in several real-world problems. Given their ephemeral nature, data stream sources are expected to undergo changes in data distribution, a ...

Heitor Murilo Gomes has 4 co-authors in Research Commons.