Database Paper Browser

Back to papers

Random Sampling from Hash Files

Summary: Evaluates random sampling from hash files on storage across static (open addressing, overflow chains) and dynamic hash schemes (Linear/Extendible). Iterative and batch sampling; analyzes cost by successful search; dynamic hashing boosts sampling efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2502
Venue
SIGMOD
Year
1990
Pagerank
0.00016958917
Overall Rank
764 | 94.70%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers