A Demonstration of DBWipes: Clean as You Query

Summary: DBWipes interactively cleans aggregate-query errors by ranking influential input subsets rather than exposing entire collections. Human-readable predicates explain each subset’s contribution, enabling precise anomaly diagnosis in real campaign and sensor data. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: h6f2a2ab4569d8c28
Venue: VLDB
Year: 2012
Pagerank: 5.7094244e-05
Overall Rank: 6,636 | 55.52%
DOI: 10.14778/2367502.2367558

Incoming Non-self Citations Over Time

Authors

1. Eugene Wu (Massachusetts Institute of Technology)
2. Samuel Madden (Massachusetts Institute of Technology)
3. Michael Stonebraker (Massachusetts Institute of Technology)

BibTeX Citation

@article{wu_vldb12,
        title = {{A Demonstration of DBWipes: Clean as You Query}},
        author = {Wu, Eugene and Madden, Samuel and Stonebraker, Michael},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {12},
        pages = {1894--1897},
        doi = {10.14778/2367502.2367558},
        url = {https://doi.org/10.14778/2367502.2367558},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,722	SMOKE: Fine-grained Lineage at Interactive Speed	2018	VLDB	9.781628e-05
1,812	Tuplex: Data Science in Python at Native Code Speed	2021	SIGMOD	9.5747668e-05
5,022	Descriptive and Prescriptive Data Cleaning	2014	SIGMOD	6.2989483e-05

Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
95	Potter's Wheel: An Interactive Data Cleaning System	2001	VLDB	0.00034319763
127	Trio: A System for Integrated Management of Data, Accuracy, and Lineage	2005	CIDR	0.00030337791
1,619	Sensitivity Analysis and Explanations for Robust Query Evaluation in Probabilistic Databases	2011	SIGMOD	0.00010044303

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