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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/863

Title: Applications of Nonclassical Logic Methods for Purposes of Knowledge Discovery and Data Mining
Authors: Jotsov, Vladimir
Sgurev, Vassil
Timofeev, Adil
Keywords: Knowledge Discovery
Data Mining
Issue Date: 2004
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: Methods for solution of a large class of problems on the base of nonclassical, multiple-valued, and probabilistic logics have been discussed. A theory of knowledge about changing knowledge, of defeasible inference, and network approach to an analogous derivation have been suggested. A method for regularity search, logic-axiomatic and logic-probabilistic methods for learning of terms and pattern recognition in the case of multiple-valued logic have been described and generalized. Defeasible analogical inference and new forms of inference using exclusions are considered. The methods are applicable in a broad range of intelligent systems.
Description: * The work is partially supported by Grant no. NIP917 of the Ministry of Science and Education – Republic of Bulgaria.
URI: http://hdl.handle.net/10525/863
ISSN: 1313-0463
Appears in Collections:Volume 11 Number 2

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