Worst Case Optimal Joins on Relational and XML data
Summary: Proposes a multi-model framework for relational and XML data and a worst-case optimal join algorithm. Guarantees intermediate results do not exceed the worst-case join bound, with preliminary results showing speedups over baseline methods. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yuxing Chen (University of Helsinki)
BibTeX Citation
@inproceedings{chen_sigmod18,
title = {{Worst Case Optimal Joins on Relational and XML data}},
author = {Chen, Yuxing},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3183721},
url = {https://dl.acm.org/doi/10.1145/3183713.3183721},
year = {2018}
}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 411 | Worst-case Optimal Join Algorithms | 2012 | PODS | 0.00018902089 |
| 4,294 | From Region Encoding To Extended Dewey: On Efficient Processing of XML Twig Pattern Matching | 2005 | VLDB | 6.7780241e-05 |
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