Browsing by Author "Read, Jesse"

Now showing items 6-10 of 14

  • Efficient multi-label classification for evolving data streams

    Read, Jesse; Bifet, Albert; Holmes, Geoffrey; Pfahringer, Bernhard (University of Waikato, Department of Computer Science, 2010-05)
    Many real world problems involve data which can be considered as multi-label data streams. Efficient methods exist for multi-label classification in non streaming scenarios. However, learning in evolving streaming scenarios ...
  • Efficient online evaluation of big data stream classifiers

    Bifet, Albert; de Francisci Morales, Gianmarco; Read, Jesse; Holmes, Geoffrey; Pfahringer, Bernhard (ACM, 2015)
    The evaluation of classifiers in data streams is fundamental so that poorly-performing models can be identified, and either improved or replaced by better-performing models. This is an increasingly relevant and important ...
  • Evaluation methods and decision theory for classification of streaming data with temporal dependence

    Žliobaitė, Indrė; Bifet, Albert; Read, Jesse; Pfahringer, Bernhard; Holmes, Geoffrey (Springer, 2015)
    Predictive modeling on data streams plays an important role in modern data analysis, where data arrives continuously and needs to be mined in real time. In the stream setting the data distribution is often evolving over ...
  • MEKA: A multi-label/multi-target extension to WEKA

    Read, Jesse; Reutemann, Peter; Pfahringer, Bernhard; Holmes, Geoffrey (2016)
    Multi-label classification has rapidly attracted interest in the machine learning literature, and there are now a large number and considerable variety of methods for this type of learning. We present MEKA: an open-source ...
  • Multi-label classification using ensembles of pruned sets

    Read, Jesse; Pfahringer, Bernhard; Holmes, Geoffrey (IEEE, 2008)
    This paper presents a Pruned Sets method (PS) for multi-label classification. It is centred on the concept of treating sets of labels as single labels. This allows the classification process to inherently take into account ...