KLL± Approximate Quantile Sketches over Dynamic Datasets
Summary: Introduces KLL+/- , extending optimal KLL quantile sketches from insert-only streams to bounded dynamic updates with arbitrary deletions. It offers small space overhead, O(α^1.5/ε log²log(1/εδ)), while retaining KLL-comparable accuracy. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Fuheng Zhao (University of California Santa Barbara)
- 2. Sujaya Maiyya (University of California Santa Barbara)
- 3. Ryan Wiener (University of California Santa Barbara)
- 4. Divyakant Agrawal (University of California Santa Barbara)
- 5. Amr El Abbadi (University of California Santa Barbara)
BibTeX Citation
@article{zhao_vldb21,
title = {{KLL± Approximate Quantile Sketches over Dynamic Datasets}},
author = {Zhao, Fuheng and Maiyya, Sujaya and Wiener, Ryan and Agrawal, Divyakant and Abbadi, Amr El},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {7},
pages = {1215--1227},
doi = {10.14778/3450980.3450990},
url = {https://doi.org/10.14778/3450980.3450990},
year = {2021}
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