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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
3560
Venue
SIGMOD
Year
2004
Pagerank
6.9917053e-05
Overall Rank
3,543 | 75.36%
DOI
-

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