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Two-Level Sampling for Join Size Estimation
Summary: Two-Level Sampling for Join Size Estimation proposes a one-pass, hybrid method for join cardinality. It leverages l_k-norms and heavy hitters to deliver accurate estimates for PK–FK, many-to-many, and complex joins with simple implementation.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
h2527308ceaa47f6f
Venue
SIGMOD
Year
2017
Pagerank
9.9056116e-05
Overall Rank
1,678 | 88.73%
DOI
10.1145/3035918.3035921
Incoming Non-self Citations Over Time
Authors
1.
Yu Chen
(Hong Kong University of Science and Technology)
2.
Ke Yi
(Hong Kong University of Science and Technology)
BibTeX Citation
Copy BibTeX
@inproceedings{chen_sigmod17,
title = {{Two-Level Sampling for Join Size Estimation}},
author = {Chen, Yu and Yi, Ke},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3035921},
url = {https://dl.acm.org/doi/10.1145/3035918.3035921},
year = {2017}
}
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Showing 12 of 12 cited papers.
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