Approximate Range Thresholding
Summary: FastRTS: approximate RT on streaming d-dimensional points; supports many RT queries and captures a moment between (1−ε)τ and τ. Key: reduces QGT exponent from d+1 to d, with near-linear space; practical optimizations yield speedups and memory savings. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Zhuo Zhang (University of Melbourne)
- 2. Junhao Gan (University of Melbourne)
- 3. Zhifeng Bao (Royal Melbourne Institute of Technology)
- 4. Seyed Mohammad Hussein Kazemi (University of Melbourne)
- 5. Guangyong Chen (Zhejiang Lab; Zhejiang University)
- 6. Fengyuan Zhu (Kaifeng Investment)
BibTeX Citation
@inproceedings{zhang_sigmod22,
title = {{Approximate Range Thresholding}},
author = {Zhang, Zhuo and Gan, Junhao and Bao, Zhifeng and Kazemi, Seyed Mohammad Hussein and Chen, Guangyong and Zhu, Fengyuan},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3526123},
url = {https://dl.acm.org/doi/10.1145/3514221.3526123},
year = {2022}
}
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