Approximation techniques for spatial data

Proceedings of the ACM SIGMOD International Conference on Management of Data

Volumn , Issue , 2004, Pages 695-706

  Das, Abhinandan ^a   Gehrke, Johannes ^a   Riedewald, Mirek ^a  

^a Department of Obstetrics Gynecology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 3142676598     PISSN: 07308078     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1007568.1007646     Document Type: Conference Paper

References (30)

1. A. Aboulnaga and J. F. Naughton. Accurate estimation of the cost of spatial selections. In Proc. ICDE, pages 123-134, 2000.
2. S. Acharya, V. Poosala, and S. Ramaswamy. Selectivity estimation in spatial databases. In Proc. SIGMOD, pages 13-24, 1999.
3. N. Alon, P. B. Gibbons, Y. Matias, and M. Szegedy. Tracking join and self-join sizes in limited storage. In Proc. PODS, pages 10-20, 1999.
4. N. Alon, Y. Matias, and M. Szegedy. The space complexity of approximating the frequency moments. In Proc. STOC, pages 20-29, 1996.
5. N. An, Z.-Y. Yang, and A. Sivasubramaniam. Selectivity estimation for spatial joins. In Proc. ICDE, pages 368-375, 2001.
6. B. Babcock, S. Babu, M. Datar, R. Motwani, and J. Widom. Models and issues in data stream systems. In Proc. PODS, pages 1-16, 2002.
7. Z. Bar-Yossef, R. Kumar, and D. Sivakumar. Reductions in streaming algorithms, with an application to counting triangles in graphs. In Proc. SODA, pages 623-632, 2002.
8. A. Belussi and C. Faloutsos. Self-spacial join selectivity estimation using fractal concepts. Proc. ACM TOIS, 16(2):161-201, 1998.
9. T. Brinkhoff, H.-P. Kriegel, and B. Seeger. Parallel processing of spatial joins using R-trees. In Proc. ICDE, pages 258-265, 1996.
10. M. Charikar, K. Chen, and M. Farach-Colton. Finding frequent items in data streams. In Proc. ICALP, pages 693-703, 2002.
11. G. Cormode and S. Muthukrishnan. What's hot and what's not: Tracking most frequent items dynamically. In Proc. PODS, pages 296-306, 2003.
12. G. Cormode and S. Muthukrishnan. An improved data stream summary: The count-min sketch and its applications. In LATIN, pages 29-38, 2004.
13. A. Das, J. Gehrke, and M. Riedewald. Approximation techniques for spatial data. Technical report, Cornell University, 2004. http://techreports.library. cornell.edu.
14. A. Dobra, M. N. Garofalakis, J. Gehrke, and R. Rastogi. Processing complex aggregate queries over data streams. In Proc. SIGMOD, pages 61-72, 2002.
15. 15] C. Faloutsos, B. Seeger, A. J. M. Traina, and C. Traina. Spatial join selectivity using power laws. In Proc. SIGMOD, pages 177-188, 2000.
16. S. Ganguly, M. N. Garofalakis, and R. Rastogi. Processing data-stream join aggregates using skimmed sketches. In Proc. EDBT, pages 569-586, 2004.
17. A. C. Gilbert, Y. Kotidis, S. Muthukrishnan, and M. Strauss. How to summarize the universe: Dynamic maintenance of quantiles. In Proc. VLDB, pages 454-465, 2002.
18. P. J. Haas and J. M. Hellerstein. Online query processing. In Proc. SIGMOD, page 623, 2001.
19. J. M. Hellerstein, P. J. Haas, and H. J. Wang. Online aggregation. In Proc. SIGMOD, pages 171-182, 1997.
20. Y.-W. Huang, N. Jing, and E. A. Rundensteiner. A cost model for estimating the performance of spatial joins using R-trees. In Proc. SSDBM, pages 30-38, 1997.
21. J. Jin, N. An, and A. Sivasubramaniam. Analyzing range queries on spatial data. In Proc. ICDE, pages 525-534, 2000.
22. H.-P. Kriegel, M. Pfeifle, M. Pötke, and T. Seidl. A cost model for interval intersection queries on RI-trees. In Proc. SSDBM, pages 131-141, 2002.
23. N. Mamoulis and D. Papadias. Selectivity estimation of complex spatial queries. In Proc. SSTD, pages 155-174, 2001.
24. D. Papadias, Y. Theodoridis, T. K. Sellis, and M. J. Egenhofer. Topological relations in the world of minimum bounding rectangles: A study with R-trees. In Proc. SIGMOD, pages 92-103, 1995.
25. C. Sun, D. Agrawal, and A. El Abbadi. Exploring spatial datasets with histograms. In Proc. ICDE, pages 93-102, 2002.
26. C. Sun, D. Agrawal, and A. El Abbadi. Selectivity estimation for spatial joins with geometric selections. In Proc. EDBT, pages 609-626, 2002.
27. Y. Tao, G. Kollios, J. Considine, F. Li, and D. Papadias. Spatio-temporal aggregation using sketches. In Proc. ICDE, 2004. to appear.
28. N. Thaper, S. Guha, P. Indyk, and N. Koudas. Dynamic multidimensional histograms. In Proc. SIGMOD, 2002.
29. Y. Theodoridis and T. K. Sellis. A model for the prediction of R-tree performance. In Proc. PODS, pages 161-171, 1996.
30. Y. Theodoridis, E. Stefanakis, and T. K. Sellis. Efficient cost models for spatial queries using R-trees. IEEE TKDE, 12(1), 2000.