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Fusing Data with Correlations

Summary: Models correlations among sources beyond simple copying (positive/negative, cross-domain, extractor rules) to improve truth discovery in web-harvested data. Evaluated on three real/synthetic datasets, it outperforms state-of-the-art methods by robustly fusing noisy, conflicting web data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4804
Venue
SIGMOD
Year
2014
Pagerank
0.00015431241
Overall Rank
908 | 93.69%
DOI
10.1145/2588555.2593764

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