A Conceptual Model for Dynamic Clustering in Object Databases
Summary: Introduces dynamic clustering for object databases: typeless, directly denotable ad-hoc collections formed by copying objects or aggregating OIDs, with explicit/indefinite and loose/tight semantics. Presents a conceptual model validated in a real application and prototype. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Qing Li (Hong Kong University of Science and Technology)
- 2. John L. Smith (Commonwealth Scientific and Industrial Research Organisation)
BibTeX Citation
@article{li_vldb92,
title = {{A Conceptual Model for Dynamic Clustering in Object Databases}},
author = {Li, Qing and Smith, John L.},
journal = {PVLDB},
series = {{VLDB} '92},
pages = {457},
year = {1992}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,007 | Clustering Techniques for Minimizing External Path Length | 1996 | VLDB | 5.9155532e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,165 | Objects and Views | 1991 | SIGMOD | 0.00011740339 |
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