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Processing Complex Aggregate Queries over Data Streams
Summary: Sketch-based, memory-limited approximate aggregation for continuous streams. Domain-partitioned sketches with histogram priors tighten error guarantees and beat histograms in accuracy on real and synthetic data.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
h97fa1306f6bef282
Venue
SIGMOD
Year
2002
Pagerank
0.00013498392
Overall Rank
844 | 94.35%
DOI
10.1145/564691.564699
Incoming Non-self Citations Over Time
BibTeX Citation
Copy BibTeX
@inproceedings{dobra_sigmod02,
title = {{Processing Complex Aggregate Queries over Data Streams}},
author = {Dobra, Alin and Garofalakis, Minos and Gehrke, Johannes and Rastogi, Rajeev},
series = {{SIGMOD} '02},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/564691.564699},
url = {https://dl.acm.org/doi/10.1145/564691.564699},
year = {2002}
}
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4,607
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COMPASS: Online Sketch-based Query Optimization for In-Memory Databases
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2003
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Load Shedding in Stream Databases: A Control-Based Approach
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Weighted Distinct Sampling: Cardinality Estimation for SPJ Queries
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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