DiMaC: A System for Cleaning Disguised Missing Data
Summary: DiMaC: cleaning disguised missing data; finds disguise values without domain knowledge; counters inliers masquerading as legitimate entries. Demo highlights techniques for detecting disguise values, DiMaC architecture/UI, on real and synthetic data, showing effectiveness and efficiency. (summarized by gpt-5-nano on Feb 09 2026)
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BibTeX Citation
@inproceedings{hua_sigmod08,
title = {{DiMaC: A System for Cleaning Disguised Missing Data}},
author = {Hua, Ming and Pei, Jian},
series = {{SIGMOD} '08},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1376616.1376751},
url = {https://dl.acm.org/doi/10.1145/1376616.1376751},
year = {2008}
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