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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
1435
Venue
PODS
Year
2007
Pagerank
4.7144329e-05
Overall Rank
7,547 | 47.50%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
3,271 Data Sketches for Disaggregated Subset Sum and Frequent Item Estimation 2018 SIGMOD 7.2968732e-05
3,928 Tighter Estimation using Bottom-k Sketches 2008 VLDB 6.6254568e-05
12,344 Composable, Scalable, and Accurate Weight Summarization of Unaggregated Data Sets 2009 VLDB 4.1945683e-05
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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
14 Online Aggregation 1997 SIGMOD 0.0010801504
184 New Sampling-Based Summary Statistics for Improving Approximate Query Answers 1998 SIGMOD 0.00036625711
323 Gigascope: A Stream Database for Network Applications 2003 SIGMOD 0.00027492196
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