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Efficient Search in Very Large Databases

Summary: Novel data structuring enables efficient branch-and-bound search in very large databases; pruning reduces the search space with modest storage overhead. Also enables successive-approximation results, lowering total search cost. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h5074da55635d840b
Venue
VLDB
Year
1988
Pagerank
5.5409868e-05
Overall Rank
7,359 | 50.54%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{agrawal_vldb88,
        title = {{Efficient Search in Very Large Databases}},
        author = {Agrawal, Rakesh and Jagadish, H. V.},
        journal = {PVLDB},
        series = {{VLDB} '88},
        year = {1988}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
4,503 Query Processing for Distance Metrics 1990 VLDB 6.5710176e-05
5,456 Distributed Transitive Closure Computations: The Disconnection Set Approach 1990 VLDB 6.1215612e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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