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DataProf: Semantic Profiling for Iterative Data Cleansing and Business Rule Acquisition

Summary: DataProf: a semantic data profiler for iterative cleansing and rule acquisition. It returns perfect sample records that satisfy the same constraints as the input data, enabling rapid detection of violations and interactive, expert-guided rule discovery, including embedded uniqueness constraints. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5567
Venue
SIGMOD
Year
2018
Pagerank
5.4333402e-05
Overall Rank
8,399 | 42.38%
DOI
10.1145/3183713.3193544

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wei_sigmod18,
        title = {{DataProf: Semantic Profiling for Iterative Data Cleansing and Business Rule Acquisition}},
        author = {Wei, Ziheng and Link, Sebastian},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3193544},
        url = {https://dl.acm.org/doi/10.1145/3183713.3193544},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
203 Dependency Inference 1987 VLDB 0.00025381538
618 A Hybrid Approach to Functional Dependency Discovery 2016 SIGMOD 0.00015711835
3,387 Data Profiling – A Tutorial 2017 SIGMOD 7.4534663e-05
4,303 Possible and Certain SQL Keys 2015 VLDB 6.7711902e-05
12,055 SQL Schema Design: Foundations, Normal Forms, and Normalization 2016 SIGMOD 5.093636e-05
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