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Sketching Unaggregated Data Streams for Subpopulation-Size Queries

Summary: Streaming sketches for unaggregated packet streams that provide unbiased, post-hoc estimators of flow subpopulation sizes (e.g., per-application or per-AS) without per-flow state. Introduces step sample-and-hold that substantially beats Cisco sampled NetFlow and approaches pre-aggregated accuracy. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1434
Venue
PODS
Year
2007
Pagerank
5.538404e-05
Overall Rank
7,815 | 46.39%
DOI
10.1145/1265530.1265566

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{cohen_pods07,
        address = {New York, NY, USA},
        series = {{PODS} '07},
        title = {{Sketching Unaggregated Data Streams for Subpopulation-Size Queries}},
        url = {https://dl.acm.org/doi/10.1145/1265530.1265566},
        doi = {10.1145/1265530.1265566},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Cohen, Edith and Duffield, Nick and Kaplan, Haim and Lund, Carsten and Thorup, Mikkel},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
9 Online Aggregation 1997 SIGMOD 0.00077458002
149 New Sampling-Based Summary Statistics for Improving Approximate Query Answers 1998 SIGMOD 0.00029226907
230 Gigascope: A Stream Database for Network Applications 2003 SIGMOD 0.00023891474
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