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Stream Frequency over Interval Queries

Summary: Generalized sliding-window frequency queries over arbitrary intervals enable hierarchical drill-down. Deterministic sketches achieve improved space with O(1) updates/queries, delivering 90–250× faster processing, ≥730× faster queries, and ≥40% lower space than prior work. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12165
Venue
VLDB
Year
2019
Pagerank
5.4041343e-05
Overall Rank
8,603 | 40.98%
DOI
10.14778/3297753.3297762

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{basat_vldb19,
        title = {{Stream Frequency over Interval Queries}},
        author = {Basat, Ran Ben and Friedman, Roy and Shahout, Rana},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {4},
        pages = {433--445},
        doi = {10.14778/3297753.3297762},
        url = {https://doi.org/10.14778/3297753.3297762},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,247 Optimal Approximate Matrix Multiplication over Sliding Windows 2026 VLDB 5.4574671e-05
8,616 CoopStore: Optimizing Precomputed Summaries for Aggregation 2020 VLDB 5.4004741e-05
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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.

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