Discovering Salient Data Features By Composing And Manipulating Logical Equations
Price
Free (open access)
Volume
25
Pages
8
Published
2000
Size
739 kb
Paper DOI
10.2495/DATA000231
Copyright
WIT Press
Author(s)
D.E. Sitnikov, B.D'Cruz & P.E.Sitnikova
Abstract
The paper suggests a method of representing knowledge in the form of logical equations of a special type. We show that deductive inferences about the salient data features in a knowledge base can be represented by a set of logical equations. We describe how logical equations with finite predicates can be successfully used for the description of logical links between discrete features, and how this can be applied to pattern recognition and data mining. New knowledge about logical links between discrete features in the data can be obtained by eliminating variables from these equations with the help of the operation 3, and we describe this process in detail. We consider the application of the operation 3 to a logical equation
Keywords