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The PH-Tree – A Space-Efficient Storage Structure and Multi-Dimensional Index

Summary: PH-tree (PATRICIA-hypercube-tree) is a space-efficient, multi-dimensional storage/index built from PATRICIA-tries and hypercubes. Prefix sharing yields compact storage; it outperforms KD-tree for space, queries, and updates on large data, scaling beyond 10^7 entries and even showing super-constant timing on skewed datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4769
Venue
SIGMOD
Year
2014
Pagerank
4.4697591e-05
Overall Rank
8,679 | 39.63%
DOI
10.1145/2588555.2588564

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,895 Fast and Adaptive Indexing of Multi-Dimensional Observational Data 2016 VLDB 4.427268e-05
11,905 Supporting Data Uncertainty in Array Databases 2015 SIGMOD 4.1945683e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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