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Semi-Supervised Data Cleaning with Raha and Baran

Summary: Raha and Baran are configuration-free semi-supervised systems for end-to-end error detection and correction that learn to combine an auto-generated pool of base detectors/correctors from ~20 labeled tuples via label propagation. They leverage transfer learning from prior cleaning tasks to speed up detection and improve correction effectiveness. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
413
Venue
CIDR
Year
2021
Pagerank
5.1656857e-05
Overall Rank
6,187 | 56.96%
DOI
-

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