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Capacity Constrained Assignment in Spatial Databases

Summary: Capacity constrained assignment (CCA) in spatial databases: match P to Q with capacities, maximize matches, minimize total distance. Edge-aware pruning based on spatial structure avoids the full distance graph, enabling exact CCA algorithms and approximate methods with theoretical guarantees. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3974
Venue
SIGMOD
Year
2008
Pagerank
9.5804907e-05
Overall Rank
2,085 | 85.50%
DOI
-

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Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
2 R-Trees: A Dynamic Index Structure For Spatial Searching 1984 SIGMOD 0.0032169493
6 The R*-tree: An Efficient and Robust Access Method for Points and Rectangles 1990 SIGMOD 0.0016162015
24 The R+-Tree: A Dynamic Index For Multi-Dimensional Objects 1987 VLDB 0.00083378538
1,768 Closest Pair Queries in Spatial Databases 2000 SIGMOD 0.00010622873
2,247 On Efficient Spatial Matching 2007 VLDB 9.2048219e-05
7,608 Clustering Objects on a Spatial Network 2004 SIGMOD 4.6967024e-05
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