A Conceptual Model for Dynamic Clustering in Object Databases

Summary: Dynamic clustering in object databases: a conceptual model for ad-hoc, typeless object collections. Clusters are denotable groupings formed by copies or by including OIDs—explicit or indefinitely defined—tested via a prototype in an object DBMS on a real application. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 8094
Venue: VLDB
Year: 1992
Pagerank: 4.4067139e-05
Overall Rank: 9,006 | 37.41%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Qing Li
2. John L. Smith

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
5,194	Clustering Techniques for Minimizing External Path Length	1996	VLDB	5.6318244e-05

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
842	Objects and Views	1991	SIGMOD	0.00015981389

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