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Improved Approximation Algorithms for Relational Clustering

Summary: Relational k-median and k-means clustering without join materialization. Relational k-median: first efficient relative-approximation; relational k-means: improved (1+ε)γ-approximation with faster runtime via fractional hyper-tree width fhw; runtime ~O(k^2 N fhw)+T_γ(k^2). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
1981
Venue
PODS
Year
2024
Pagerank
5.093636e-05
Overall Rank
11,144 | 23.55%
DOI
10.1145/3695831

Incoming Non-self Citations Over Time

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Authors

BibTeX Citation

@inproceedings{esmailpour_pods24,
        address = {New York, NY, USA},
        series = {{PODS} '24},
        title = {{Improved Approximation Algorithms for Relational Clustering}},
        url = {https://dl.acm.org/doi/10.1145/3695831},
        doi = {10.1145/3695831},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Esmailpour, Aryan and Sintos, Stavros},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
8,728 Computing A Well-Representative Summary of Conjunctive Query Results 2024 PODS 5.3766157e-05
9,719 Subset Sampling over Joins 2026 PODS 5.2319816e-05
10,153 Faster Relational Algorithms Using Geometric Data Structures 2026 PODS 5.093636e-05
10,176 Clustering with Set Outliers and Applications in Relational Clustering 2026 PODS 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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