Conditional functional dependencies for capturing data inconsistencies

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Discovering Denial Constraints (2013, methodology): “In addition, a set of sound and complete inference rules were also provided, which were later simplified by Fan [14].”
Data X-Ray: A Diagnostic Tool for Data Errors (2015, background): “Such labels can be obtained by existing cleaning and classiﬁcation techniques [21,25,26].”
Holistic data cleaning: Putting violations into context (2013, background): “On the other hand, in academia, researchers are investigating declarative, constraintbased rules [4], [5], [13], [8], [11], [12], [21], [18], which allow users to detect and repair complicated patterns in the”
Interactive and Deterministic Data Cleaning (2016, methodology): “To start, we manually defined a set of CFDs [16] and fixing rules [43] for each scenario.”
NADEEF: a commodity data cleaning system (2013, methodology): “, FDs [28], its extension CFDs [8,12], MD-”
Profiling relational data: a survey (2015, methodology): “Conditional functional dependencies ( Cfd s) were introduced in [46], also for data cleaning.”
Incremental Detection of Inconsistencies in Distributed Data (2014, methodology): “When the data is in a centralized database, it is known that two SQL queries sufﬁce to detect its violations of a set of CFDs [9].”