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GDR: A System for Guided Data Repair

Summary: Demo of GDR, a Guided Data Repair system blending interactive user input with automated repairs to boost data quality. Repairs scored with decision-theoretic and active-learning metrics, ranked for quick user review; feedback trains a model to eventually replace the user in validity decisions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4354
Venue
SIGMOD
Year
2010
Pagerank
6.8224341e-05
Overall Rank
3,713 | 74.18%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
833 Guided Data Repair 2011 VLDB 0.00016138432
2,018 Statistical Distortion: Consequences of Data Cleaning 2012 VLDB 9.7764643e-05
2,823 Interaction between Record Matching and Data Repairing 2011 SIGMOD 8.0593894e-05
6,187 Semi-Supervised Data Cleaning with Raha and Baran 2021 CIDR 5.1656857e-05
10,821 Demonstrating Matelda for Multi-Table Error Detection 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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