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Statistical Distortion: Consequences of Data Cleaning

Summary: Introduces statistical distortion as a metric for data cleaning impact. A scalable experimental framework evaluates glitch improvement, statistical distortion, and cost, addressing gaps in existing metrics; demonstrated on real-world data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h270b4de4bdab82ac
Venue
VLDB
Year
2012
Pagerank
9.3878613e-05
Overall Rank
1,914 | 87.14%
DOI
10.14778/2350229.2350276

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{dasu_vldb12,
        title = {{Statistical Distortion: Consequences of Data Cleaning}},
        author = {Dasu, Tamraparni and Loh, Ji Meng},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {11},
        pages = {1674--1683},
        doi = {10.14778/2350229.2350276},
        url = {https://doi.org/10.14778/2350229.2350276},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

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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
547 ERACER: A Database Approach for Statistical Inference and Data Cleaning 2010 SIGMOD 0.00016578131
3,079 Online Data Fusion 2011 VLDB 7.6698103e-05
4,127 GDR: A System for Guided Data Repair 2010 SIGMOD 6.791747e-05
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