Range counting over multidimensional data streams

  • Authors:
  • Subhash Suri;Csaba D. Tóth;Yunhong Zhou

  • Affiliations:
  • University of California, Santa Barbara, CA;University of California, Santa Barbara, CA;Hewlett-Packard Laboratories, Palo Alto, CA

  • Venue:
  • SCG '04 Proceedings of the twentieth annual symposium on Computational geometry
  • Year:
  • 2004

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Abstract

We consider the problem of approximate range counting over streams of d-dimensional points. In the data stream model, the algorithm makes a single scan of the data, which is presented in an arbitrary order, and computes a compact summary (called a sketch). The sketch, whose size depends on the approximation parameter ε, can be used to count the number of points inside a query range within additive error εn, where n is the size of the stream. We present several results, deterministic and randomized, for both rectangle and halfplane ranges.