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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.
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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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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Vitter JS. Random sampling with a reservoir. ACM Trans Math Softw. 1985;11(1):37–57.
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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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DOI: https://doi.org/10.1007/978-1-4614-8265-9_535
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