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Analysis of n-dimensional Quadtrees Using the Hausdorff Fractal Dimension

Summary: Uses Hausdorff fractal dimension, rather than uniformity, to derive closed-form estimates of n-dimensional quadtree block counts for self-similar spatial data. Predicts linear-quadtree/Z-order space and query costs, validated across diverse real datasets. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8521
Venue
VLDB
Year
1996
Pagerank
6.9272604e-05
Overall Rank
4,070 | 72.08%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{faloutsos_vldb96,
        title = {{Analysis of n-dimensional Quadtrees Using the Hausdorff Fractal Dimension}},
        author = {Faloutsos, Christos and Gaede, Volker},
        journal = {PVLDB},
        series = {{VLDB} '96},
        pages = {40--50},
        year = {1996}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
1,137 A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space 1997 PODS 0.00012027131
1,512 On the Analysis of Indexing Schemes 1997 PODS 0.00010536001
3,170 A Raster Approximation for the Processing of Spatial Joins 1998 VLDB 7.6703896e-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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