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Window Query-Optimal Clustering of Spatial Objects

Summary: Defines static window-query optimal clustering: partition known spatial data into capacity-cb buckets to minimize expected bucket accesses, yielding a lower bound for spatial indexes. Poly-time for cb=2, NP-hard for cb≥3; simulated annealing shows dynamic structures and packed R-tree ≈20% worse than optimum. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1049
Venue
PODS
Year
1995
Pagerank
5.9806097e-05
Overall Rank
6,089 | 58.23%
DOI
10.1145/212433.212458

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{pagel_pods95,
        address = {New York, NY, USA},
        series = {{PODS} '95},
        title = {{Window Query-Optimal Clustering of Spatial Objects}},
        url = {https://dl.acm.org/doi/10.1145/212433.212458},
        doi = {10.1145/212433.212458},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Pagel, Bernd-Uwe and Six, Hans-Werner and Winter, Mario},
        year = {1995}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
1,373 A Model for the Prediction of R-tree Performance 1996 PODS 0.0001098638
2,974 A Revised R*-tree in Comparison with Related Index Structures 2009 SIGMOD 7.9083221e-05
8,689 Adaptive Index Structures 2002 VLDB 5.3843737e-05
9,099 Are Window Queries Representative For Arbitrary Range Queries? 1996 PODS 5.3250598e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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