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AMS Sketch

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Recommended Reading

  1. Alon N, Gibbons PB, Matias Y, Szegedy M. Tracking join and self-join sizes in limited storage. J Comput Syst Sci. 2002;64(3):719–47.

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  2. Alon N., Matias Y., and Szegedy M. The space complexity of approximating the frequency moments. In: Proceedings of the 28th Annual ACM Symposium on Theory of Computing; 1996. p. 20–9.

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  3. Charikar M., Chen K., and Farach-Colton M. Finding frequent items in data streams. In: Proceedings of the 29th International Colloquium on Automata, Languages and Programming; 2002. p. 693–703.

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  4. Cormode G. and Garofalakis M. Sketching streams through the net: distributed approximate query tracking. In: Proceedings of the 31st International Conference on Very Large Data Bases; 2005. p. 13–24.

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  5. Das A., Gehrke J., and Riedewald M. Approximation techniques for spatial data. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2004. p. 695–706.

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  6. Dobra A., Garofalakis M., Gehrke J., and Rastogi R. Processing complex aggregate queries over data streams. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2002. p. 61–72.

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  7. Rusu F, Dobra A. Pseudo-random number generation for sketch-based estimations. ACM Trans Database Syst. 2007;32(2):11.

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  8. Rusu F. and Dobra A. Statistical analysis of sketch estimators. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2007. p. 187–98.

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Author information

Authors and Affiliations

  1. University of Florida, Gainesville, FL, USA

    Alin Dobra

Authors
  1. Alin Dobra
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Correspondence to Alin Dobra .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. AT&T Labs - Research, AT&T, Bedminster, NJ, USA

    Divesh Srivastava

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Dobra, A. (2018). AMS Sketch. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_16

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