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Hierarchically Organized Skew-Tolerant Histograms for Geographic Data Objects

Summary: Proposes STHistogram, a skew-tolerant histogram for 2D/3D geographic data objects, delivering robust accuracy under highly skewed distributions. It detects hotspots and uses them to guide bucketization, yielding tighter cardinality estimates and superior performance to prior histograms. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4342
Venue
SIGMOD
Year
2010
Pagerank
5.2434488e-05
Overall Rank
9,642 | 33.85%
DOI
10.1145/1807167.1807236

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{roh_sigmod10,
        title = {{Hierarchically Organized Skew-Tolerant Histograms for Geographic Data Objects}},
        author = {Roh, Yohan J. and Kim, Jae Ho and Chung, Yon Dohn and Son, Jin Hyun and Kim, Myoung Ho},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807236},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807236},
        year = {2010}
}

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