Mining database structure; or, how to build a data quality browser
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Declarative Data Cleaning: Language, Model, and Algorithms
Proceedings of the 27th International Conference on Very Large Data Bases
Potter's Wheel: An Interactive Data Cleaning System
Proceedings of the 27th International Conference on Very Large Data Bases
Towards correcting input data errors probabilistically using integrity constraints
MobiDE '06 Proceedings of the 5th ACM international workshop on Data engineering for wireless and mobile access
Extending dependencies with conditions
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Conditional functional dependencies for capturing data inconsistencies
ACM Transactions on Database Systems (TODS)
On generating near-optimal tableaux for conditional functional dependencies
Proceedings of the VLDB Endowment
Semandaq: a data quality system based on conditional functional dependencies
Proceedings of the VLDB Endowment
Proceedings of the VLDB Endowment
A call to arms: revisiting database design
ACM SIGMOD Record
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We present Data Auditor, a tool for exploring data quality and data semantics. Given a rule or an integrity constraint and a target relation, Data Auditor computes pattern tableaux, which concisely summarize subsets of the relation that (mostly) satisfy or (mostly) fail the constraint. This paper describes 1) the architecture and user interface of Data Auditor, 2) the supported constraints for testing data consistency and completeness, 3) the heuristics used by Data Auditor to "tune" a given constraint or its associated parameters for better fit with the data, and 4) several demonstration scenarios. using real data sets.