Range Thresholding on Streams
Summary: Introduces range thresholding on streams (RTS) and the first algorithm beating quadratic time, achieving O(n + m) up to polylog factors for processing stream elements and queries. Generalizes to weighted, d-dimensional queries, with experiments showing practical, scalable performance gains. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Miao Qiao (Massey University)
- 2. Junhao Gan (University of Queensland)
- 3. Yufei Tao (University of Queensland)
BibTeX Citation
@inproceedings{qiao_sigmod16,
title = {{Range Thresholding on Streams}},
author = {Qiao, Miao and Gan, Junhao and Tao, Yufei},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2915965},
url = {https://dl.acm.org/doi/10.1145/2882903.2915965},
year = {2016}
}
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,559 | Approximate Range Thresholding | 2022 | SIGMOD | 5.093636e-05 |
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