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Robust and Efficient Fuzzy Match for Online Data Cleaning

Summary: Proposes a novel similarity function addressing limitations of fuzzy-match metrics for data cleaning. Develops an efficient fuzzy-match algorithm for real-time validation/cleansing of incoming tuples against reference tables; demonstrated on real datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3504
Venue
SIGMOD
Year
2003
Pagerank
0.00028199923
Overall Rank
158 | 98.92%
DOI
10.1145/872757.872796

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chaudhuri_sigmod03,
        title = {{Robust and Efficient Fuzzy Match for Online Data Cleaning}},
        author = {Chaudhuri, Surajit and Ganjam, Kris and Ganti, Venkatesh and Motwani, Rajeev},
        series = {{SIGMOD} '03},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/872757.872796},
        url = {https://dl.acm.org/doi/10.1145/872757.872796},
        year = {2003}
}

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