Determining the Largest Overlap between Tables
Summary: Formalizes the largest-table-overlap problem and presents Sloth, an efficient solver for the largest common subtable under arbitrary row/column permutations. Real-world evaluation highlights its utility for version discovery, data cleaning, and deduplication across data lakes and web tables. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Luca Zecchini (University of Modena and Reggio Emilia)
- 2. Tobias Bleifuss (Hasso Plattner Institute; University of Potsdam)
- 3. Giovanni Simonini (University of Modena and Reggio Emilia)
- 4. Sonia Bergamaschi (University of Modena and Reggio Emilia)
- 5. Felix Naumann (Hasso Plattner Institute; University of Potsdam)
BibTeX Citation
@inproceedings{zecchini_sigmod24,
title = {{Determining the Largest Overlap between Tables}},
author = {Zecchini, Luca and Bleifuss, Tobias and Simonini, Giovanni and Bergamaschi, Sonia and Naumann, Felix},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3639303},
url = {https://dl.acm.org/doi/10.1145/3639303},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,287 | Shape-Agnostic Table Overlap Discovery: A Maximum Common Subhypergraph Approach | 2026 | SIGMOD | 5.093636e-05 |
| 10,783 | Table Overlap Estimation through Graph Embeddings | 2025 | SIGMOD | 5.093636e-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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