Abo Bibliothek: Guest
Digitales Portal Digitale Bibliothek eBooks Zeitschriften Referenzen und Berichte Forschungssammlungen
Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Druckformat: 1064-2315
ISSN Online: 2163-9337

Volumen 52, 2020 Volumen 51, 2019 Volumen 50, 2018 Volumen 49, 2017 Volumen 48, 2016 Volumen 47, 2015 Volumen 46, 2014 Volumen 45, 2013 Volumen 44, 2012 Volumen 43, 2011 Volumen 42, 2010 Volumen 41, 2009 Volumen 40, 2008 Volumen 39, 2007 Volumen 38, 2006 Volumen 37, 2005 Volumen 36, 2004 Volumen 35, 2003 Volumen 34, 2002 Volumen 33, 2001 Volumen 32, 2000 Volumen 31, 1999 Volumen 30, 1998 Volumen 29, 1997 Volumen 28, 1996

Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v50.i4.30
pages 25-34

Definition of Information Core for Documents Classification

Eduard A. Manziuk
Khmelnitskiy National University, Khmelnitskiy
Alexander V. Barmak
Khmelnitskiy National University, Khmelnitskiy
Yuriy V. Krak
Kiev National Taras Shevchenko University, V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev
Veda S. Kasianiuk
Kiev National Taras Shevchenko University, Kiev


The analysis of the classifiers assessments based on the definition of informational value of classification attributes is carried out. The stages of the preprocessing of documents and the classification of documents based on modern approaches are considered. The classification is performed using both individual classifiers and the component approach of the assembly of classifiers. Assembly of classifiers uses composition to change the training sample and combine the classifiers of different nature. The introduced approach allows us to identify the classification elements that are of informational value and have properties of generalization by evaluating the similarity measure between them based on classification results.

Articles with similar content:

A Method of Recursive Generation of Orthogonal Transformations of Signals and Images
Journal of Automation and Information Sciences, Vol.35, 2003, issue 6
Darya I. Popiv, Nikolay Fedorovich Kirichenko
Investigation of the Applicability of the Co-occurrence Matrix for Detecting Steganoaudiosignals
Journal of Automation and Information Sciences, Vol.46, 2014, issue 1
Natalya V. Koshkina
Improvement of the Model of Computer Epidemics Based on Expanding the Set of Possible States of the Information Systems Objects
Journal of Automation and Information Sciences, Vol.51, 2019, issue 11
Alina V. Shevchenko , Veronika Navotna , Victor L. Shevchenko , Alexey S. Bychkov
Modern Approaches to Solving Complex Discrete Optimization Problems
Journal of Automation and Information Sciences, Vol.48, 2016, issue 1
Vladimir P. Shylo , Ivan V. Sergienko
General Approach to Solving Optimization Problems in Distributed Computing Systems and Theory of Intelligence Systems Construction
Journal of Automation and Information Sciences, Vol.42, 2010, issue 3
Sergey V. Minukhin, Sergey V. Listrovoy