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Spatiotemporal Selectivity Estimation

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  1. Pagel B-U, Six H-W, Toben H, Widmayer P. Towards an analysis of range query performance in spatial data structures. In: Proceedings of the 12th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems; 1993. p. 214–21.

    Google Scholar 

  2. Theodoridis Y, Sellis T. A model for the prediction of R-tree performance. In: Proceedings of the 15th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems; 1996. p. 161–71.

    Google Scholar 

  3. Acharya S, Poosala V, Ramaswamy S. Selectivity estimation in spatial databases. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1999. p. 13–4.

    Google Scholar 

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

    Google Scholar 

  5. Alon N, Gibbons PB, Matias Y, Szegedy M. Tracking join and self-join sizes in limited storage. In: Proceedings of the 18th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems; 1999. p. 10–20.

    Google Scholar 

  6. Hadjieleftheriou M, Kollios G, Tsotras VJ. Performance evaluation of spatio-temporal selectivity estimation techniques. In: Proceedings of the 15th International Conference on Scientific and Statistical Database Management; 2003. p. 202–11.

    Google Scholar 

  7. Frahling G, Indyk P, Sohler C. Sampling in dynamic data streams and applications. In: Proceedings of the Symposium on Computational Geometry; 2005. p. 142–9.

    Google Scholar 

  8. Tao Y, Lian X, Papadias D, Hadjieleftheriou M. Random sampling for continuous streams with arbitrary updates. IEEE Trans Knowl Data Eng. 2007;19(1):96–110.

    Article  Google Scholar 

  9. Tao Y, Papadias D, Zhai J, Li Q. Venn sampling: a novel prediction technique for moving objects. In: Proceedings of the 21st International Conference on Data Engineering; 2005. p. 680–91.

    Google Scholar 

  10. Choi Y-J, Chung C-W. Selectivity estimation for spatio-temporal queries to moving objects. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2002. p. 440–51.

    Google Scholar 

  11. Tao Y, Sun J, Papadias D. Analysis of predictive spatio-temporal queries. ACM Trans Database Syst. 2003;28(4):295–336.

    Article  Google Scholar 

  12. Sun J, Tao Y, Papadias D, Kollios G. Spatio-temporal join selectivity. Inf Syst. 2006;31(8):793–813.

    Article  Google Scholar 

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Correspondence to George Kollios .

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Kollios, G. (2018). Spatiotemporal Selectivity Estimation. 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_363

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