Methods and apparatus for capturing and detecting...

Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique

Reexamination Certificate

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Reexamination Certificate

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08041668

ABSTRACT:
Methods and apparatus are provided for detecting data inconsistencies. Methods are disclosed for determining whether a set of conditional functional dependencies are consistent; determining a minimal cover of a set of conditional functional dependencies and detecting a violation of one or more conditional functional dependencies in a set of conditional functional dependencies. The conditional functional dependencies comprise one or more constraints that data in a database must satisfy including at least one pattern with data values.

REFERENCES:
patent: 2006/0155743 (2006-07-01), Bohannon et al.
‘An extension of the relational data model to incorporate ordered domains’: Ng, 2001, ACM, Transactions on database systems, vol. 26, No. 3, pp. 344-383.
‘A cost based model and effective heuistic for repairing constraints by value modification’: Bohannon, 2005, ACM, 1-59593-060.
‘Data cleaning: problems and current approaches’: Rahm, 2000, IEEE.
‘Conditional functional dependencies for capturing data inconsistencies’: Fan, 2008, ACM, Transactions on database systems vol. 33, No. 2, article 6.
Bohannon et al., “Conditional Functional Dependencies for Data Cleaning”, 23rd Int'l Conf on Database Engineering (ICDE), 2007.
Fan et al., “Conditional Functional Dependencies for Capturing Data Inconsistencies”, ACM Transactions on Database Systems, vol. 33, No. 2 Article 6, pp. 1-48, Jun. 2008.

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