Data Sketches for Disaggregated Subset Sum and Frequent Item Estimation
Summary: A sketch for disaggregated subset sum and heavy-hitter estimation, unbiased, high-accuracy sums under arbitrary filters. i.i.d. data: consistent heavy-hitter proportions; non-iid: outperforms uniform sampling, rivals priority sampling, with distributed extensions. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Daniel Ting (Tableau Research)
BibTeX Citation
@inproceedings{ting_sigmod18,
title = {{Data Sketches for Disaggregated Subset Sum and Frequent Item Estimation}},
author = {Ting, Daniel},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3183759},
url = {https://dl.acm.org/doi/10.1145/3183713.3183759},
year = {2018}
}
Incoming Citations (Sorted by Pagerank)
Showing 16 of 16 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 124 | Approximate Frequency Counts over Data Streams | 2002 | VLDB | 0.00030503973 |
| 153 | New Sampling-Based Summary Statistics for Improving Approximate Query Answers | 1998 | SIGMOD | 0.0002855087 |
| 452 | Mergeable Summaries | 2012 | PODS | 0.00018032092 |
| 752 | Join Size Estimation Subject to Filter Conditions | 2015 | VLDB | 0.00014234789 |
| 911 | Finding Frequent Items in Data Streams | 2008 | VLDB | 0.00013093314 |
| 5,525 | Time Adaptive Sketches (Ada-Sketches) for Summarizing Data Streams | 2016 | SIGMOD | 6.0809613e-05 |
| 7,990 | Sketching Unaggregated Data Streams for Subpopulation-Size Queries | 2007 | PODS | 5.3951142e-05 |
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