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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
5505
Venue
SIGMOD
Year
2018
Pagerank
4.5028904e-05
Overall Rank
8,475 | 41.05%
DOI
10.1145/3183713.3193544

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

Rank Cited Paper Year Venue Pagerank
25 Dependency Inference (Extended Abstract) 1987 VLDB 0.00083101742
894 A Hybrid Approach to Functional Dependency Discovery 2016 SIGMOD 0.00015556428
3,467 Data Profiling – A Tutorial 2017 SIGMOD 7.069081e-05
4,499 Possible and Certain SQL Keys 2015 VLDB 6.1385333e-05
11,854 SQL Schema Design: Foundations, Normal Forms, and Normalization 2016 SIGMOD 4.1945683e-05
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