AMBIENTUM BIOETHICA BIOLOGIA CHEMIA DIGITALIA DRAMATICA EDUCATIO ARTIS GYMNAST. ENGINEERING EPHEMERIDES EUROPAEA GEOGRAPHIA GEOLOGIA HISTORIA HISTORIA ARTIUM INFORMATICA IURISPRUDENTIA MATHEMATICA MUSICA NEGOTIA OECONOMICA PHILOLOGIA PHILOSOPHIA PHYSICA POLITICA PSYCHOLOGIA-PAEDAGOGIA SOCIOLOGIA THEOLOGIA CATHOLICA THEOLOGIA CATHOLICA LATIN THEOLOGIA GR.-CATH. VARAD THEOLOGIA ORTHODOXA THEOLOGIA REF. TRANSYLVAN
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STUDIA INFORMATICA - Ediţia nr.2 din 2014 | |||||||
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FINDING, MANAGING AND ENFORCING CFDS AND ARS VIA A SEMI-AUTOMATIC LEARNING STRATEGY. Autori: . |
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Rezumat:
This paper describes our strategy, which finds Conditional Functional Dependencies (CFDs) and Association Rules (ARs), and instead of using them to clean dirty data we use them to prevent their appearance in the database. We achieve this by differentiating strict CFDs/ARs from apparent CFDs/ARs. If we know about a CFD/AR that it will be valid in the future, we can rely on them by creating constraints which guarantee that the CFD-rule will not be breached by insertions or modifications. Along with complete management of CFDs/ARs our implemented application called DependencyManager also uses Formal Concept Analysis(FCA) methods to analyze the strict CFDs/ARs and draw useful conclusions, helping the users of the application to prevent inconsistencies, fix bugs and optimize their queries and applications by providing a lattice ofCFDs/ARs, using usefulness as the relation. 2010 Mathematics Subject Classification. 68P15.1998 CR Categories and Descriptors. H.2.8 [Database Management]: Database Applications- Data mining. Key words and phrases. Dependency Mining, Conditional Functional Dependency, FormalConcept Analysis, Association Rules.
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