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Data X-Ray: A Diagnostic Tool for Data Errors
Summary: Data X-Ray reframes cleaning as diagnosing errors in data generation, not purging them. A Bayesian cost model guides diagnostics; an efficient parallel algorithm scales to large datasets, delivering better diagnoses and large speedups over prior methods.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
hd3e549fbe2d88878
Venue
SIGMOD
Year
2015
Pagerank
8.1271333e-05
Overall Rank
2,687 | 81.95%
DOI
10.1145/2723372.2750549
Incoming Non-self Citations Over Time
BibTeX Citation
@inproceedings{wang_sigmod15,
title = {{Data X-Ray: A Diagnostic Tool for Data Errors}},
author = {Wang, Xiaolan and Dong, Xin Luna and Meliou, Alexandra},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2750549},
url = {https://dl.acm.org/doi/10.1145/2723372.2750549},
year = {2015}
}
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