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: h1b4be66fc3d12f89
Venue: SIGMOD
Year: 2013
Pagerank: 5.4986002e-05
Overall Rank: 7,543 | 49.29%
DOI: 10.1145/2463676.2465309

Incoming Non-self Citations Over Time

Authors

1. Yang Cao (Beihang University; University of Edinburgh)
2. Wenfei Fan (Beihang University; University of Edinburgh)
3. Wenyuan Yu (University of Edinburgh)

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
2,717	Partial Results in Database Systems	2014	SIGMOD	8.0980367e-05
8,194	Counting and Enumerating (Preferred) Database Repairs	2017	PODS	5.379983e-05

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.

Rank	Cited Paper	Year	Venue	Pagerank
5	Optimal Aggregation Algorithms for Middleware [Extended Abstract]	2001	PODS	0.0010679641
126	Trio: A System for Integrated Management of Data, Accuracy, and Lineage	2005	CIDR	0.00030439683
504	A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration	2012	VLDB	0.00017164466
524	Supporting Top-k Join Queries in Relational Databases	2003	VLDB	0.00016909926
649	Discovering Data Quality Rules	2008	VLDB	0.00015149865
1,385	Truth Discovery and Copying Detection in a Dynamic World	2009	VLDB	0.00010843714
2,614	Evaluating Rank Joins with Optimal Cost	2008	PODS	8.2255837e-05
2,784	Interaction between Record Matching and Data Repairing	2011	SIGMOD	8.018482e-05

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