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Adaptive threshold sampling

Summary: Adaptive threshold sampling: changing probabilities via thresholds. Shows adaptive thresholds can emulate fixed sampling, enabling simple estimators; introduces samplers for memory budgets, stratified/multi-objective sampling, and sliding windows, including adaptive top-K. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6498
Venue
SIGMOD
Year
2022
Pagerank
5.1347137e-05
Overall Rank
10,110 | 30.64%
DOI
10.1145/3514221.3526122

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ting_sigmod22,
        title = {{Adaptive threshold sampling}},
        author = {Ting, Daniel},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3526122},
        url = {https://dl.acm.org/doi/10.1145/3514221.3526122},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,194 Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality 2024 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
2,576 Optimal Sampling from Sliding Windows 2009 PODS 8.3964437e-05
2,753 Sampling Time-Based Sliding Windows in Bounded Space 2008 SIGMOD 8.1647557e-05
2,878 Data Sketches for Disaggregated Subset Sum and Frequent Item Estimation 2018 SIGMOD 8.0058242e-05
5,802 Time-Decaying Aggregates in Out-of-order Streams 2008 PODS 6.0843083e-05
5,998 Approximate Distinct Counts for Billions of Datasets 2019 SIGMOD 6.0142553e-05
Previous Page 1 / 1 Next

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