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Approximate Frequency Counts over Data Streams

Summary: Tracing the Approximate Frequency Counts work and its influence on data-stream sketching, heavy-hitter detection, and sublinear memory algorithms. Also surveys a recent trend: personal data streams for quality-of-life gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10594
Venue
VLDB
Year
2012
Pagerank
6.689845e-05
Overall Rank
4,460 | 69.41%
DOI
10.14778/2367502.2367508

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{manku_vldb12,
        title = {{Approximate Frequency Counts over Data Streams}},
        author = {Manku, Gurmeet Singh and Motwani, Rajeev},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {12},
        pages = {1699--1699},
        doi = {10.14778/2367502.2367508},
        url = {https://doi.org/10.14778/2367502.2367508},
        year = {2012}
}

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

Rank Cited Paper Year Venue Pagerank
122 Approximate Frequency Counts over Data Streams 2002 VLDB 0.00031260115
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