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On the Feasibility of Forgetting in Data Streams

Summary: Introduces the Right-to-be-Forgotten Data Streaming (RFDS) model where updates are + or forget, incrementing or resetting an element’s frequency to zero to capture data-erasure semantics. In alpha-RFDS (forget-bounded by alpha), provides F0 and F1 estimators with almost-tight space lower bounds and practical algorithms. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
1965
Venue
PODS
Year
2024
Pagerank
5.6435171e-05
Overall Rank
7,328 | 49.73%
DOI
10.1145/3651603

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{pavan_pods24,
        address = {New York, NY, USA},
        series = {{PODS} '24},
        title = {{On the Feasibility of Forgetting in Data Streams}},
        url = {https://dl.acm.org/doi/10.1145/3651603},
        doi = {10.1145/3651603},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Pavan, A. and Chakraborty, Sourav and Vinodchandran, N. V. and Meel, Kuldeep S.},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
482 An Optimal Algorithm for the Distinct Elements Problem 2010 PODS 0.00017772185
3,795 Is Min-Wise Hashing Optimal for Summarizing Set Intersection? 2014 PODS 7.1200458e-05
5,669 Data Streams with Bounded Deletions 2018 PODS 6.1278944e-05
11,640 Estimating the Size of Union of Sets in Streaming Models 2021 PODS 5.093636e-05
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