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Boosting Spatial Pruning: On Optimal Pruning of MBRs

Summary: Dominance-based pruning criterion for multi-dimensional MBRs: decide when A is definitely closer to query R than B, outperforming min/max-distance heuristics. Also handles partial domination and incremental, conservative estimates of total dominators, with strong empirical gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4293
Venue
SIGMOD
Year
2010
Pagerank
5.6358517e-05
Overall Rank
7,350 | 49.58%
DOI
10.1145/1807167.1807174

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{emrich_sigmod10,
        title = {{Boosting Spatial Pruning: On Optimal Pruning of MBRs}},
        author = {Emrich, Tobias and Kriegel, Hans-Peter and Kroeger, Peer and Renz, Matthias and Zuefle, Andreas},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807174},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807174},
        year = {2010}
}

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