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GDR: A System for Guided Data Repair

Summary: Demo of GDR, a Guided Data Repair system blending interactive user input with automated repairs to boost data quality. Repairs scored with decision-theoretic and active-learning metrics, ranked for quick user review; feedback trains a model to eventually replace the user in validity decisions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4416
Venue
SIGMOD
Year
2010
Pagerank
6.9330647e-05
Overall Rank
4,059 | 72.16%
DOI
10.1145/1807167.1807325

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{yakout_sigmod10,
        title = {{GDR: A System for Guided Data Repair}},
        author = {Yakout, Mohamed and Elmagarmid, Ahmed K. and Neville, Jennifer and Ouzzani, Mourad},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807325},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807325},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
714 Guided Data Repair 2011 VLDB 0.00014662041
1,914 Statistical Distortion: Consequences of Data Cleaning 2012 VLDB 9.4886927e-05
2,782 Interaction between Record Matching and Data Repairing 2011 SIGMOD 8.1280264e-05
5,835 Semi-Supervised Data Cleaning with Raha and Baran 2021 CIDR 6.0720263e-05
11,048 Demonstrating Matelda for Multi-Table Error Detection 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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