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Approximation Techniques for Spatial Data

Summary: Introduces approximate selectivity estimation for spatial joins and range queries in SDBMS, addressing a gap in spatial query optimization. Single-scan, incremental-update methods support inserts/deletes (streaming data) and provide provable probabilistic guarantees, with empirical evaluation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3622
Venue
SIGMOD
Year
2004
Pagerank
7.1829776e-05
Overall Rank
3,703 | 74.60%
DOI
10.1145/1007568.1007646

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{das_sigmod04,
        title = {{Approximation Techniques for Spatial Data}},
        author = {Das, Abhinandan and Gehrke, Johannes and Riedewald, Mirek},
        series = {{SIGMOD} '04},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1007568.1007646},
        url = {https://dl.acm.org/doi/10.1145/1007568.1007646},
        year = {2004}
}

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