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Statistical Analysis of Sketch Estimators

Summary: Statistical analysis of linear sketch estimators for streaming and distributed aggregates; empirical comparison of Fast-AGMS, Count-Min, and others. Finds theory underestimates practical performance; Fast-AGMS often best or near-best across problem classes, guiding practitioners. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3850
Venue
SIGMOD
Year
2007
Pagerank
6.3333486e-05
Overall Rank
4,237 | 70.53%
DOI
-

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Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
217 Ripple Joins for Online Aggregation 1999 SIGMOD 0.00033536712
1,392 Sketching Streams Through the Net: Distributed Approximate Query Tracking 2005 VLDB 0.00012229045
3,543 Approximation Techniques for Spatial Data 2004 SIGMOD 6.9917053e-05
6,511 Fast Range-Summable Random Variables for Efficient Aggregate Estimation 2006 SIGMOD 5.032518e-05
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