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Multiscale Histograms: Summarizing Topological Relations in Large Spatial Datasets

Summary: Multiscale histograms of topological relations (contains, contained, overlap, disjoint) using Euler histograms for exact, constant-time aligned-window summaries. A 19/12-approx NP-hard storage-minimization, a k-histogram scheme for high accuracy, and constant-time approximate queries; experiments show large accuracy gains with scalable storage. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9026
Venue
VLDB
Year
2003
Pagerank
4.3089103e-05
Overall Rank
9,663 | 32.78%
DOI
-

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Rank Citing Paper Year Venue Pagerank
1,737 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00010720294
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