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Filter Trees for Managing Spatial Data Over a Range of Size Granularities

Summary: New file organization: Filter Trees for spatial data across granularities; large entities high, small entities low. Hilbert-ordered indexes enable bulk I/O and locality; supports build, range queries, and cross-tree joins; experiments show strong gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8328
Venue
VLDB
Year
1996
Pagerank
6.0484423e-05
Overall Rank
4,612 | 67.92%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
1,184 On Effective Multi-Dimensional Indexing for Strings 2000 SIGMOD 0.00013455208
3,457 Size Separation Spatial Join 1997 SIGMOD 7.0755358e-05
6,097 Two-dimensional Substring Indexing 2001 PODS 5.2119402e-05
6,161 Spatial Join Selectivity Using Power Laws 2000 SIGMOD 5.1753664e-05
7,203 Indexing Methods for Moving Object Databases: Games and Other Applications 2013 SIGMOD 4.8019323e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

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