Sketching Probabilistic Data Streams
Summary: First sublinear-space, sublinear-time algorithms for aggregating probabilistic data streams under possible-worlds semantics. Introduces concise streaming sketches extending conventional sketching to probabilistic streams to approximate distributions of complex aggregates (distinct counts, joins) with randomized guarantees. (summarized by gpt-5-nano on Feb 09 2026)
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 467 | Evaluating Probabilistic Queries over Imprecise Data | 2003 | SIGMOD | 0.00022443768 |
| 7,623 | Optimizing Probabilistic Query Processing on Continuous Uncertain Data | 2011 | VLDB | 4.6933659e-05 |
| 5,796 | Finding Frequent Items in Probabilistic Data | 2008 | SIGMOD | 5.3240234e-05 |
| 7,699 | Sketch-based Geometric Monitoring of Distributed Stream Queries | 2013 | VLDB | 4.6746076e-05 |
| 1,392 | Sketching Streams Through the Net: Distributed Approximate Query Tracking | 2005 | VLDB | 0.00012229045 |
| 8,090 | Probabilistic Histograms for Probabilistic Data | 2009 | VLDB | 4.5888589e-05 |
| 7,834 | Sketch-based Querying of Distributed Sliding-Window Data Streams | 2012 | VLDB | 4.6382551e-05 |
| 3,385 | Estimating Statistical Aggregates on Probabilistic Data Streams | 2007 | PODS | 7.1580391e-05 |
| 1,064 | Processing Complex Aggregate Queries over Data Streams | 2002 | SIGMOD | 0.00014356481 |
| 12,272 | Conditioning and Aggregating Uncertain Data Streams: Going Beyond Expectations | 2010 | VLDB | 4.1945683e-05 |