Selectivity Estimation for Spatio-Temporal Queries to Moving Objects
Summary: Spatio-temporal selectivity estimation for moving objects to guide query optimization. Introduces analytical formulas that account for future positions, with experiments showing 9–23% average error vs 14–85% for spatial-only methods on Tiger/Lines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yong-Jin Choi (Korea Advanced Institute of Science and Technology)
- 2. Chin-Wan Chung (Korea Advanced Institute of Science and Technology)
BibTeX Citation
@inproceedings{choi_sigmod02,
title = {{Selectivity Estimation for Spatio-Temporal Queries to Moving Objects}},
author = {Choi, Yong-Jin and Chung, Chin-Wan},
series = {{SIGMOD} '02},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/564691.564742},
url = {https://dl.acm.org/doi/10.1145/564691.564742},
year = {2002}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 255 | The History of Histograms (abridged) | 2003 | VLDB | 0.00022981861 |
| 985 | The TPR*-Tree: An Optimized Spatio-Temporal Access Method for Predictive Queries | 2003 | VLDB | 0.00012685169 |
| 3,462 | Prediction and Indexing of Moving Objects with Unknown Motion Patterns | 2004 | SIGMOD | 7.2834147e-05 |
| 7,519 | Comparing Synopsis Techniques for Approximate Spatial Data Analysis | 2019 | VLDB | 5.502959e-05 |
| 8,809 | Incremental Partitioning for Efficient Spatial Data Analytics | 2022 | VLDB | 5.2724071e-05 |
| 9,818 | Hierarchically Organized Skew-Tolerant Histograms for Geographic Data Objects | 2010 | SIGMOD | 5.1257999e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 242 | Fast Incremental Maintenance of Approximate Histograms | 1997 | VLDB | 0.00023363722 |
| 574 | Indexing the Positions of Continuously Moving Objects | 2000 | SIGMOD | 0.00016173068 |
| 665 | The Sequoia 2000 Storage Benchmark | 1993 | SIGMOD | 0.00014990574 |
| 926 | On Indexing Mobile Objects | 1999 | PODS | 0.00013047723 |
| 1,646 | Indexing Moving Points (Extended Abstract) | 2000 | PODS | 9.9929961e-05 |
| 2,162 | Selectivity Estimation in Spatial Databases | 1999 | SIGMOD | 8.935022e-05 |
| 2,310 | The MV3R-Tree: A Spatio-Temporal Access Method for Timestamp and Interval Queries | 2001 | VLDB | 8.6626285e-05 |
| 7,048 | A Data Model and Data Structures for Moving Objects Databases | 2000 | SIGMOD | 5.6134125e-05 |
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|---|---|---|---|---|
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| 3 | 7,561 | Selectivity Estimation on Streaming Spatio-Textual Data Using Local Correlations | 2015 | VLDB |
| 4 | 3,462 | Prediction and Indexing of Moving Objects with Unknown Motion Patterns | 2004 | SIGMOD |
| 5 | 7,584 | Effectively Indexing Uncertain Moving Objects for Predictive Queries | 2009 | VLDB |
| 6 | 985 | The TPR*-Tree: An Optimized Spatio-Temporal Access Method for Predictive Queries | 2003 | VLDB |
| 7 | 3,658 | Time-Parameterized Queries in Spatio-Temporal Databases | 2002 | SIGMOD |
| 8 | 1,542 | Improved Selectivity Estimation by Combining Knowledge from Sampling and Synopses | 2018 | VLDB |
| 9 | 3,758 | Approximation Techniques for Spatial Data | 2004 | SIGMOD |
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