Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality
Summary: FreeSam enables adaptive sampling for streaming intra-window joins, jointly optimizing output size and variance. It blends hybrid sampling with intra-window joins, offering 2D quantity-quality control and latency-predictable, multi-core execution. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Xilin Tang (Renmin University of China)
- 2. Feng Zhang (Renmin University of China)
- 3. Shuhao Zhang (Nanyang Technological University)
- 4. Yani Liu (Renmin University of China)
- 5. Bingsheng He (National University of Singapore)
- 6. Xiaoyong Du (Renmin University of China)
BibTeX Citation
@inproceedings{tang_sigmod24,
title = {{Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality}},
author = {Tang, Xilin and Zhang, Feng and Zhang, Shuhao and Liu, Yani and He, Bingsheng and Du, Xiaoyong},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3677134},
url = {https://dl.acm.org/doi/10.1145/3677134},
year = {2024}
}
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,650 | Tribase: A Vector Data Query Engine for Reliable and Lossless Pruning Compression using Triangle Inequalities | 2025 | SIGMOD | 5.8146324e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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