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Title: The Knowledge: Its Presentation and Role in Recognition Systems
Authors: Zakrevskij, Arkadij
Keywords: Knowledge
Recognition Systems
Boolean Functions
Logical Vectors
Issue Date: 2003
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: 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.
ISSN: 1313-0463
Appears in Collections:Volume 10 Number 1

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