STING : A Statistical Information Grid Approach to Spatial Data Mining
Summary: STING introduces a hierarchical statistical information grid for spatial data mining. By summarizing spatial cells with statistics, it answers broad queries and clustering without per-object scans, yielding speedups on large datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wei Wang
- 2. Jiong Yang
- 3. Richard Muntz
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 159 | LOF: Identifying Density-Based Local Outliers | 2000 | SIGMOD | 0.00040135453 |
| 918 | DBSCAN Revisited: Mis-Claim, Un-Fixability, and Approximation | 2015 | SIGMOD | 0.00015286593 |
| 1,127 | Trajectory Clustering: A Partition-and-Group Framework | 2007 | SIGMOD | 0.00013801775 |
| 1,523 | WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases | 1998 | VLDB | 0.00011515189 |
| 3,477 | Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering | 1999 | VLDB | 7.0558203e-05 |
| 4,792 | YADING: Fast Clustering of Large-Scale Time Series Data | 2015 | VLDB | 5.9132429e-05 |
| 6,656 | Supporting Ranking and Clustering as Generalized Order-By and Group-By | 2007 | SIGMOD | 4.9691233e-05 |
| 6,892 | C2P: Clustering based on Closest Pairs | 2001 | VLDB | 4.8889412e-05 |
| 8,784 | Machine Learning Meets Big Spatial Data | 2019 | VLDB | 4.4473392e-05 |
| 12,631 | A Shrinking-Based Approach for Multi-Dimensional Data Analysis | 2003 | VLDB | 4.1905499e-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 |
|---|---|---|---|---|
| 27 | Efficient and Effective Clustering Methods for Spatial Data Mining | 1994 | VLDB | 0.00080846213 |
| 33 | BIRCH: An Efficient Data Clustering Method for Very Large Databases | 1996 | SIGMOD | 0.00077399244 |
| 667 | The Sequoia 2000 Storage Benchmark | 1993 | SIGMOD | 0.00018431008 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,032 | Spatial Online Sampling and Aggregation | 2016 | VLDB | 6.5131946e-05 |
| 391 | Query Processing in Spatial Network Databases | 2003 | VLDB | 0.00024560891 |
| 4,379 | Rectangle-Efficient Aggregation in Spatial Data Streams | 2012 | PODS | 6.2326895e-05 |
| 2,056 | Selectivity Estimation in Spatial Databases | 1999 | SIGMOD | 9.6692561e-05 |
| 3,477 | Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering | 1999 | VLDB | 7.0558203e-05 |
| 27 | Efficient and Effective Clustering Methods for Spatial Data Mining | 1994 | VLDB | 0.00080846213 |
| 7,704 | Clustering Objects on a Spatial Network | 2004 | SIGMOD | 4.6681826e-05 |
| 9,508 | Hierarchically Organized Skew-Tolerant Histograms for Geographic Data Objects | 2010 | SIGMOD | 4.3300131e-05 |
| 13,595 | Spatial Indexing of Large Multidimensional Databases | 2007 | CIDR | - |
| 75 | Spatial Query Processing in an Object-Oriented Database System | 1986 | SIGMOD | 0.00057450043 |