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A Dynamic Clustering Technique For Physical Database Design

Summary: Dynamic clustering reframed as partitioning of attribute space, directed by a discriminator sequence and analyzed partition count. Extended K-d tree directs partitioning; results show gains vs single-attribute clustering and inverted-file methods. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2134
Venue
SIGMOD
Year
1980
Pagerank
0.00010811082
Overall Rank
1,709 | 88.12%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
123 A Decomposition Storage Model 1985 SIGMOD 0.00045255007
3,064 Query Processing Method for Multi-Attribute Clustered Relations 1990 VLDB 7.6279403e-05
6,480 Efficient Search of Multidimensional B-Trees 1995 VLDB 5.0475112e-05
13,018 MULTIKEY RETRIEVAL from K-d TREES and QUAD-TREES 1985 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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