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Determining the Relative Accuracy of Attributes

Summary: Proposes a chase-based model with accuracy rules to determine when one tuple's A value is more accurate than another for the same entity. Analyzes termination, confluence, and a unique target te; offers a user-interactive framework and algorithms to compute te or top-k candidates, with experimental validation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4778
Venue
SIGMOD
Year
2013
Pagerank
5.6246845e-05
Overall Rank
7,404 | 49.21%
DOI
10.1145/2463676.2465309

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{cao_sigmod13,
        title = {{Determining the Relative Accuracy of Attributes}},
        author = {Cao, Yang and Fan, Wenfei and Yu, Wenyuan},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2465309},
        url = {https://dl.acm.org/doi/10.1145/2463676.2465309},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
2,663 Partial Results in Database Systems 2014 SIGMOD 8.2818137e-05
8,038 Counting and Enumerating (Preferred) Database Repairs 2017 PODS 5.502256e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

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