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Data Sampling

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Recommended Reading

  1. Aggarwal CC. On biased reservoir sampling in the presence of stream evolution. In: Proceedings of the 32nd International Conference on Very Large Data Bases; 2006.

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  2. Chaudhuri S, et al. Overcoming limitations of sampling for aggregation queries. In: Proceedings of the 17th International Conference on Data Engineering; 2001.

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  3. Ganti V, Lee M-L, Ramakrishnan R. ICICLES: self-tuning samples for approximate query answering. In: Proceedings of the 28th International Conference on Very Large Data Bases; 2000.

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  4. Gibbons PB, Matias Y. New sampling-based summary statistics for improving approximate query answers. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1998.

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  5. Kish L. Survey sampling. New York: Wiley; 1965. p. 643. xvi.

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  6. Speegle GD, Donahoo MJ. Using statistical sampling for query optimization in heterogeneous library information systems. In: Proceedings of the 20th ACM Annual Conference on Computer Science; 1993.

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  7. Vitter JS. Random sampling with a reservoir. ACM Trans Math Softw. 1985;11(1):37–57.

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Author information

Authors and Affiliations

  1. The Australian e-health Research Center, Brisbane, QLD, Australia

    Qing Zhang

Authors
  1. Qing Zhang
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Corresponding author

Correspondence to Qing Zhang .

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. School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, QLD, Australia

    Xiaofang Zhou

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Zhang, Q. (2018). Data Sampling. 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_535

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