Space-optimal heavy hitters with strong error bounds

  title={Space-optimal heavy hitters with strong error bounds},
  author={Radu Berinde and Piotr Indyk and Graham Cormode and Martin Strauss},
  journal={ACM Trans. Database Syst.},
The problem of finding heavy hitters and approximating the frequencies of items is at the heart of many problems in data stream analysis. It has been observed that several proposed solutions to this problem can outperform their worst-case guarantees on real data. This leads to the question of whether some stronger bounds can be guaranteed. We answer this in the positive by showing that a class of counter-based algorithms (including the popular and very space-efficient <scp>Frequent</scp> and… CONTINUE READING
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