STING: A Statistical Information Grid Approach to Spatial Data Mining
Summary: STING uses a hierarchical statistical-information grid to summarize spatial cells, enabling clustering and region queries without scanning individual objects. Its coarse-to-fine summaries deliver order-of-magnitude speedups on very large spatial datasets. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wei Wang (University of California Los Angeles)
- 2. Jiong Yang (University of California Los Angeles)
- 3. Richard Muntz (University of California Los Angeles)
BibTeX Citation
@article{wang_vldb97,
title = {{STING: A Statistical Information Grid Approach to Spatial Data Mining}},
author = {Wang, Wei and Yang, Jiong and Muntz, Richard},
journal = {PVLDB},
series = {{VLDB} '97},
pages = {186--195},
year = {1997}
}
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 142 | LOF: Identifying Density-Based Local Outliers | 2000 | SIGMOD | 0.0002962566 |
| 918 | Trajectory Clustering: A Partition-and-Group Framework | 2007 | SIGMOD | 0.00013215285 |
| 962 | DBSCAN Revisited: Mis-Claim, Un-Fixability, and Approximation | 2015 | SIGMOD | 0.00012936472 |
| 1,941 | WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases | 1998 | VLDB | 9.4453261e-05 |
| 3,663 | Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering | 1999 | VLDB | 7.2151113e-05 |
| 4,151 | YADING: Fast Clustering of Large-Scale Time Series Data | 2015 | VLDB | 6.8703273e-05 |
| 6,815 | Supporting Ranking and Clustering as Generalized Order-By and Group-By | 2007 | SIGMOD | 5.7652375e-05 |
| 7,023 | C2P: Clustering based on Closest Pairs | 2001 | VLDB | 5.7242118e-05 |
| 8,722 | Machine Learning Meets Big Spatial Data | 2019 | VLDB | 5.3769871e-05 |
| 12,815 | A Shrinking-Based Approach for Multi-Dimensional Data Analysis | 2003 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 31 | BIRCH: An Efficient Data Clustering Method for Very Large Databases | 1996 | SIGMOD | 0.00050347119 |
| 88 | Efficient and Effective Clustering Methods for Spatial Data Mining | 1994 | VLDB | 0.00035240327 |
| 650 | The Sequoia 2000 Storage Benchmark | 1993 | SIGMOD | 0.00015319951 |
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