Reduction of Knowledge Representation Using Logic Minimization Techniques
Document Type
Conference Proceeding
Publication Date
8-16-2011
Publication Title
ICSEng 2011: International Conference on Systems Engineering
Publisher
IEEE
First page number:
482
Last page number:
485
Abstract
This paper is dedicated to two seemingly different problems. The first one concerns information theory and the second one is connected to logic synthesis methods. The reason why these issues are considered together is the important task of the efficient representation of data in information systems and as well as in logic systems. An efficient algorithm to solve the task of attributes/arguments reduction is presented.
Keywords
Artificial intelligence; Computer algorithms; Data structures (Computer science); Information theory; Machine learning
Disciplines
Computer and Systems Architecture | Electrical and Computer Engineering | Engineering
Language
English
Permissions
Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.
Repository Citation
Borowik, G.,
Luba, T.,
Zydek, D. M.
(2011).
Reduction of Knowledge Representation Using Logic Minimization Techniques.
ICSEng 2011: International Conference on Systems Engineering
482-485.
IEEE.
Comments
Conference: 21st International Conference on 16-18 Aug. 2011