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A Demonstration of DBWipes: Clean as You Query

Summary: DBWipes demonstrates querying and data cleaning that pair ranked provenance with a visual interface to locate and fix errors. It introduces Ranked Provenance, ranking input subsets by contribution to error and describing them with concise predicates. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10429
Venue
VLDB
Year
2012
Pagerank
5.0880333e-05
Overall Rank
6,384 | 55.59%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
1,882 Tuplex: Data Science in Python at Native Code Speed 2021 SIGMOD 0.0001021625
2,280 SMOKE: Fine-grained Lineage at Interactive Speed 2018 VLDB 9.1111033e-05
5,660 Descriptive and Prescriptive Data Cleaning 2014 SIGMOD 5.3847321e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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