DBScholar

Back to papers

Estimating the Selectivity of Spatial Queries Using the 'Correlation' Fractal Dimension

Summary: Uses correlation fractal dimension D₂—not uniformity/independence—to model neighbor counts as a power law, enabling spatial-join and density-biased range selectivity estimation. Shape-specific K_shape yields ~10% error versus 40–100% for uniformity. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8468
Venue
VLDB
Year
1995
Pagerank
8.1372328e-05
Overall Rank
2,774 | 80.97%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{belussi_vldb95,
        title = {{Estimating the Selectivity of Spatial Queries Using the 'Correlation' Fractal Dimension}},
        author = {Belussi, Alberto and Faloutsos, Christos},
        journal = {PVLDB},
        series = {{VLDB} '95},
        year = {1995}
}

Incoming Citations (Sorted by Pagerank)

Showing 14 of 14 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers