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)
Incoming Non-self Citations Over Time
Authors
- 1. Yohan J. Roh (Samsung)
- 2. Jae Ho Kim (Korea Advanced Institute of Science and Technology)
- 3. Yon Dohn Chung (Korea University)
- 4. Jin Hyun Son (Hanyang University)
- 5. Myoung Ho Kim (Korea Advanced Institute of Science and Technology)
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}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,258 | Statistics Collection in Oracle Spatial and Graph: Fast Histogram Construction for Complex Geometry Objects | 2013 | VLDB | 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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