Database Paper Browser

Back to papers

Analysis of n-dimensional Quadtrees Using the Hausdorff Fractal Dimension

Summary: Real spatial data modeled as fractal using Hausdorff dimension to predict quadtree blocks. Derives formulas linking dimension to space overhead and query time for linear quadtrees/z-ordering; validates on diverse real datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8330
Venue
VLDB
Year
1996
Pagerank
7.0073154e-05
Overall Rank
3,527 | 75.47%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
1,183 A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space 1997 PODS 0.00013455596
1,488 On the Analysis of Indexing Schemes 1997 PODS 0.00011699446
2,703 A Raster Approximation for the Processing of Spatial Joins 1998 VLDB 8.2722965e-05
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers