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)
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Authors
- 1. Aryan Esmailpour (University of Illinois Chicago)
- 2. Stavros Sintos (University of Illinois Chicago)
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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