Catching up with the Data: Research Issues in Mining Data Streams

  title={Catching up with the Data: Research Issues in Mining Data Streams},
  author={Pedro M. Domingos and Geoff Hulten},
In many domains, data now arrives faster than we are able to mine it. To avoid wasting this data, we must switch from the traditional \one-shot" data mining approach to systems that are able to mine continuous, high-volume, open-ended data streams as they arrive. In this paper we identify some desiderata for such systems, report on our recent work realizing them, and outline a number of directions for future research. 
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Probability inequalities for sums of bounded random variables

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