Database Paper Browser

Back to papers

Sliding-Window Top-k Queries on Uncertain Streams

Summary: Unifies sliding-window top-k processing for uncertain streams, handling arrivals and expirations under tight space and time bounds. A single framework supports all top-k definitions, yielding compact synopses smaller than the window with efficient processing, validated on synthetic and real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9676
Venue
VLDB
Year
2008
Pagerank
6.4652983e-05
Overall Rank
4,080 | 71.62%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 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