Database Paper Browser

Back to papers

MDedup: Duplicate Detection with Matching Dependencies

Summary: MDedup uses automatically discovered matching dependencies (MDs) for domain-free duplicate detection. A trained model selects MD-based rules from features and gold standards, with boosting to improve recall, achieving up to 94% F-measure and 100% precision. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12269
Venue
VLDB
Year
2020
Pagerank
5.2405269e-05
Overall Rank
6,042 | 57.97%
DOI
10.14778/3377369.3377379

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers