On Appropriate Assumptions to Mine Data Streams: Analysis and Practice

  title={On Appropriate Assumptions to Mine Data Streams: Analysis and Practice},
  author={Jing Gao and Wei Fan and Jiawei Han},
  journal={Seventh IEEE International Conference on Data Mining (ICDM 2007)},
Recent years have witnessed an increasing number of studies in stream mining, which aim at building an accurate model for continuously arriving data. Somehow most existing work makes the implicit assumption that the training data and the yet-to-come testing data are always sampled from the "same distribution", and yet this "same distribution" evolves over time. We demonstrate that this may not be true, and one actually may never know either "how" or "when" the distribution changes. Thus, a… CONTINUE READING
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