The Knowledge: Its Presentation and Role in Recognition Systems
Data(s) |
04/01/2010
04/01/2010
2003
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Resumo |
The concept of knowledge is the central one used when solving the various problems of data mining and pattern recognition in finite spaces of Boolean or multi-valued attributes. A special form of knowledge representation, called implicative regularities, is proposed for applying in two powerful tools of modern logic: the inductive inference and the deductive inference. The first one is used for extracting the knowledge from the data. The second is applied when the knowledge is used for calculation of the goal attribute values. A set of efficient algorithms was developed for that, dealing with Boolean functions and finite predicates represented by logical vectors and matrices. |
Identificador |
1313-0463 |
Idioma(s) |
en |
Publicador |
Institute of Information Theories and Applications FOI ITHEA |
Palavras-Chave | #Knowledge #Predicates #Recognition Systems #Boolean Functions #Logical Vectors |
Tipo |
Article |