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Faster Relational Algorithms Using Geometric Data Structures

Summary: Introduces RBBD trees, a randomized geometric structure expanded on demand via sampling/counting over joins, avoiding join materialization. Improves relational k-center/means/median algorithms by a factor of k with unchanged approximation guarantees. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID
2028
Venue
PODS
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,153 | 30.35%
DOI
10.1145/3801898

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BibTeX Citation

@inproceedings{esmailpour_pods26,
        address = {New York, NY, USA},
        series = {{PODS} '26},
        title = {{Faster Relational Algorithms Using Geometric Data Structures}},
        url = {https://dl.acm.org/doi/10.1145/3801898},
        doi = {10.1145/3801898},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Esmailpour, Aryan and Sintos, Stavros},
        year = {2026}
}

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