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Estimating Statistical Aggregates on Probabilistic Data Streams

Summary: Provides one-pass streaming algorithms for aggregates on probabilistic streams: first improved estimator for expected mean, first one-pass median, and the first streaming F0 (distinct count) algorithm. Introduces a general reduction using unbiased estimators to extend deterministic F2 algorithms to probabilistic data. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1433
Venue
PODS
Year
2007
Pagerank
7.8907087e-05
Overall Rank
2,988 | 79.51%
DOI
10.1145/1265530.1265565

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{jayram_pods07,
        address = {New York, NY, USA},
        series = {{PODS} '07},
        title = {{Estimating Statistical Aggregates on Probabilistic Data Streams}},
        url = {https://dl.acm.org/doi/10.1145/1265530.1265565},
        doi = {10.1145/1265530.1265565},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Jayram, T. S. and McGregor, Andrew and Muthukrishan, S. and Vee, Erik},
        year = {2007}
}

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