Database Paper Browser

Back to papers

Stream Frequency over Interval Queries

Summary: Generalized sliding-window model for stream frequency queries over query-time intervals, enabling drill-down to finer granularities. Deterministic, constant-time updates and queries with improved space bounds; benchmarks show 90-250x faster processing, 730x faster queries, and ~40% space reduction. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11977
Venue
VLDB
Year
2019
Pagerank
4.4891331e-05
Overall Rank
8,594 | 40.22%
DOI
10.14778/3297753.3297762

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
7,929 Optimal Approximate Matrix Multiplication over Sliding Windows 2026 VLDB 4.613363e-05
8,673 CoopStore: Optimizing Precomputed Summaries for Aggregation 2020 VLDB 4.4709116e-05
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