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)
Incoming Non-self Citations Over Time
Authors
- 1. J. M. Chang
- 2. K. S. Fu
BibTeX Citation
@inproceedings{chang_sigmod80,
title = {{A DYNAMIC CLUSTERING TECHNIQUE FOR PHYSICAL DATABASE DESIGN}},
author = {Chang, J. M. and Fu, K. S.},
series = {{SIGMOD} '80},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/582250.582280},
url = {https://dl.acm.org/doi/10.1145/582250.582280},
year = {1980}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 115 | A Decomposition Storage Model | 1985 | SIGMOD | 0.00032338948 |
| 3,771 | Query Processing Method for Multi-Attribute Clustered Relations | 1990 | VLDB | 7.1391812e-05 |
| 6,451 | Efficient Search of Multidimensional B-Trees | 1995 | VLDB | 5.8751993e-05 |
| 13,217 | MULTIKEY RETRIEVAL from K-d TREES and QUAD-TREES | 1985 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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|---|
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