Adaptive Sampling for Geometric Problems over Data Streams
Summary: Adaptive, single-pass sampling scheme that maintains at most 2r+1 points to approximate the convex hull of a 2D point stream, enabling many extremal geometric queries over streams. Provable guarantee: hull error O(D/r^2) (D=diameter), yielding optimal bounds and O(log r) or O(r) query time for diameter, hull-distance, separability, etc. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. John Hershberger (Mentor Graphics Corporation)
- 2. Subhash Suri (University of California Santa Barbara)
BibTeX Citation
@inproceedings{hershberger_pods04,
address = {New York, NY, USA},
series = {{PODS} '04},
title = {{Adaptive Sampling for Geometric Problems over Data Streams}},
url = {https://dl.acm.org/doi/10.1145/1055558.1055595},
doi = {10.1145/1055558.1055595},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Hershberger, John and Suri, Subhash},
year = {2004}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,193 | Sampling Algorithms in a Stream Operator | 2005 | SIGMOD | 6.3238562e-05 |
| 7,379 | Comparing Synopsis Techniques for Approximate Spatial Data Analysis | 2019 | VLDB | 5.629255e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 26 | Models and Issues in Data Stream Systems | 2002 | PODS | 0.00052982574 |
| 82 | Space-Efficient Online Computation of Quantile Summaries | 2001 | SIGMOD | 0.00036378991 |
| 443 | Random Sampling Techniques for Space Efficient Online Computation of Order Statistics of Large Datasets | 1999 | SIGMOD | 0.00018373044 |
| 1,719 | The SDSS SkyServer - Public Access to the Sloan Digital Sky Survey Data | 2002 | SIGMOD | 9.9268286e-05 |
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