T-REx: Table Repair Explanations
Summary: T-REx delivers Shapley-value explanations for data repair, agnostic to the repair algorithm (black-box). For a chosen cell, it ranks constraints and affected cells by attribution, enabling targeted modification of the most influential factors. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Daniel Deutch (Tel Aviv University)
- 2. Nave Frost (Tel Aviv University)
- 3. Amir Gilad (Tel Aviv University)
- 4. Oren Sheffer (Tel Aviv University)
BibTeX Citation
@inproceedings{deutch_sigmod20,
title = {{T-REx: Table Repair Explanations}},
author = {Deutch, Daniel and Frost, Nave and Gilad, Amir and Sheffer, Oren},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3384700},
url = {https://dl.acm.org/doi/10.1145/3318464.3384700},
year = {2020}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 112 | HoloClean: Holistic Data Repairs with Probabilistic Inference | 2017 | VLDB | 0.00032801121 |
| 376 | Discovering Denial Constraints | 2013 | VLDB | 0.00019677674 |
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