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                                       Details van artikel 4 van 7 gevonden artikelen
 
 
  Normalized-scale Relations and Their Concept Lattices in Relational Databases
 
 
Titel: Normalized-scale Relations and Their Concept Lattices in Relational Databases
Auteur: Lei, Yuxia
Sui, Yuefei
Cao, Cungen
Verschenen in: Fundamenta informaticae
Paginering: Jaargang 93 (2009) nr. 4 pagina's 393-409
Jaar: 2009-08-03
Inhoud: Formal Concept Analysis (FCA) is a valid tool for data mining and knowledge discovery, which identifies conceptual structures from (formal) contexts. As many practical applications involve non-binary data, non-binary attributes are introduced via a many-valued context in FCA. In FCA, conceptual scaling provides a complete framework for transforming any many-valued context into a context, in which each non-binary attribute is given a scale, and the scale is a context. Each relation in relational databases is a many-valued context of FCA. In this paper, we provide an approach toward normalizing scales, i.e., each scale can be represented by a nominal scale and/or a set of statements. One advantage of normalizing scales is to avoid generating huge (binary) derived relations. By the normalization, the concept lattice of a derived relation is reduced to a combination of the concept lattice of a derived nominal relation and a set of statements. Hence, without transforming a relation into a derived relation, one can not only determine concepts of the derived relation from concepts of given scales, but also determine concepts of the derived relation from concepts of a derived nominal relation and a set of statements. The connection between the concept lattice of a derived nominal relation and the concept lattice of a derived relation is also considered.
Uitgever: IOS Press
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

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