Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/7910
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dc.contributor.authorBohannon, Philip-
dc.contributor.authorWenfei, Fan-
dc.contributor.authorGEERTS, Floris-
dc.contributor.authorXibei, Jia-
dc.contributor.authorKementsietsidis, Anastasios-
dc.date.accessioned2008-02-26T08:38:38Z-
dc.date.available2008-02-26T08:38:38Z-
dc.date.issued2007-
dc.identifier.citationProceedings of the 23rd International Conference on Data Engineering (ICDE). p. 746-755.-
dc.identifier.isbn978-1-4244-0802-3-
dc.identifier.urihttp://hdl.handle.net/1942/7910-
dc.description.abstractWe propose a class of constraints, referred to as conditional functional dependencies (CFDs), and study their applications in data cleaning. In contrast to traditional functional dependencies (FDs) that were developed mainly for schema design, CFDs aim at capturing the consistency of data by incorporating bindings of semantically related values. For CFDs we provide an inference system analogous to Armstrong’s axioms for FDs, as well as consistency analysis. Since CFDs allow data bindings, a large number of individual constraints may hold on a table, complicating detection of constraint violations. We develop techniques for detecting CFD violations in SQL as well as novel techniques for checking multiple constraints in a single query. We experimentally evaluate the performance of our CFD-based methods for inconsistency detection. This not only yields a constraint theory for CF Ds but is also a step toward a practical constraint-based method for improving data quality.-
dc.language.isoen-
dc.publisherIEEE Computer Society-
dc.titleConditional functional dependencies for data cleaning-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedate2007-
local.bibliographicCitation.conferencenameInternational Conference on Data Engineering (ICDE)-
dc.bibliographicCitation.conferencenr23-
local.bibliographicCitation.conferenceplaceIstanbul, Turkey-
dc.identifier.epage755-
dc.identifier.spage746-
local.bibliographicCitation.jcatC1-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.bibliographicCitation.oldjcatC1-
dc.identifier.doi10.1109/ICDE.2007.367920-
dc.identifier.isi000249779900073-
local.bibliographicCitation.btitleProceedings of the 23rd International Conference on Data Engineering (ICDE)-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
item.contributorKementsietsidis, Anastasios-
item.contributorXibei, Jia-
item.contributorBohannon, Philip-
item.contributorGEERTS, Floris-
item.contributorWenfei, Fan-
item.fullcitationBohannon, Philip; Wenfei, Fan; GEERTS, Floris; Xibei, Jia & Kementsietsidis, Anastasios (2007) Conditional functional dependencies for data cleaning. In: Proceedings of the 23rd International Conference on Data Engineering (ICDE). p. 746-755..-
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