Effects of Database Size on Rule System Performance: Five Case Studies
Summary: Five real-data case studies show that state-heavy rule-system techniques degrade sharply as databases grow. Comparing TREAT with lazy LEAPS, the paper demonstrates that reducing stored match state can both avoid scalability failures and improve fixed-point inference performance. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. David A. Brant (Applied Research Laboratories; University of Texas)
- 2. Timothy Grose (Applied Research Laboratories; University of Texas)
- 3. Bernie Lofaso (Applied Research Laboratories; University of Texas)
- 4. Daniel P. Miranker (University of Texas)
BibTeX Citation
@article{brant_vldb91,
title = {{Effects of Database Size on Rule System Performance: Five Case Studies}},
author = {Brant, David A. and Grose, Timothy and Lofaso, Bernie and Miranker, Daniel P.},
journal = {PVLDB},
series = {{VLDB} '91},
year = {1991}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,331 | Index Support for Rule Activation | 1993 | SIGMOD | 5.9108389e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,277 | Compiling complex database transition triggers | 1989 | SIGMOD | 8.817902e-05 |
| 2,783 | Making Deductive Database a Practical Technology: a step forward | 1990 | SIGMOD | 8.1273861e-05 |
| 6,129 | MOBY: An Architecture for Distributed Expert Database Systems | 1987 | VLDB | 5.9668307e-05 |
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