On Biased Reservoir Sampling in the Presence of Stream Evolution
Summary: Biased reservoir sampling using temporal bias to emphasize recent items under evolution, without knowing stream size; memoryless bias enables efficient maintenance. Theoretical results bound the maximum reservoir size, with implications for query estimation and evolution. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Charu C. Aggarwal (International Business Machines T. J. Watson Research Center)
BibTeX Citation
@article{aggarwal_vldb06,
title = {{On Biased Reservoir Sampling in the Presence of Stream Evolution}},
author = {Aggarwal, Charu C.},
journal = {PVLDB},
series = {{VLDB} '06},
volume = {29},
number = {2},
pages = {607--618},
doi = {10.14778/1164135.1164200},
url = {https://doi.org/10.14778/1164135.1164200},
year = {2006}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,792 | MacroBase: Prioritizing Attention in Fast Data | 2017 | SIGMOD | 9.7436856e-05 |
| 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 |
| 7,648 | Accelerating Aggregation Queries on Unstructured Streams of Data | 2023 | VLDB | 5.575838e-05 |
| 9,245 | Towards Observability for Production Machine Learning Pipelines | 2022 | VLDB | 5.2992628e-05 |
| 11,194 | Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality | 2024 | SIGMOD | 5.093636e-05 |
| 11,700 | In the Land of Data Streams where Synopses are Missing, One Framework to Bring Them All | 2021 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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