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Automatic Discovery of Attributes in Relational Databases

Summary: Data-driven clustering of relational columns to discover attributes, without external knowledge. Treats the database as a column-relationship graph and partitions it into connected components to form attribute clusters; experiments on real and synthetic data validate schema matching. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4375
Venue
SIGMOD
Year
2011
Pagerank
6.7261168e-05
Overall Rank
3,823 | 73.41%
DOI
-

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