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自动化与信息科学期刊
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN 打印: 1064-2315
ISSN 在线: 2163-9337

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

自动化与信息科学期刊

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

ABSTRACT

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.


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