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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)

Paper ID
8419
Venue
VLDB
Year
1997
Pagerank
0.00014119975
Overall Rank
1,097 | 92.38%
DOI
-

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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 0.00080736878
33 BIRCH: An Efficient Data Clustering Method for Very Large Databases 1996 SIGMOD 0.00077324389
668 The Sequoia 2000 Storage Benchmark 1993 SIGMOD 0.00018430721
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