Selectivity Estimation in Spatial Databases
Summary: Proposes selectivity estimation for 2D spatial queries using BSP-based partitioning and histograms to handle spatial skew. Introduces Min-Skew BSP partitioning, an efficient, compact method delivering accurate estimates across queries, outperforming sampling and parametric baselines on synthetic and TIGER data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Swarup Acharya (AT&T)
- 2. Viswanath Poosala (AT&T)
- 3. Sridhar Ramaswamy (AT&T; Epiphany Inc.)
BibTeX Citation
@inproceedings{acharya_sigmod99,
title = {{Selectivity Estimation in Spatial Databases}},
author = {Acharya, Swarup and Poosala, Viswanath and Ramaswamy, Sridhar},
series = {{SIGMOD} '99},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/304182.304184},
url = {https://dl.acm.org/doi/10.1145/304182.304184},
year = {1999}
}
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