An iterative feature selection procedure for a classification problem based on the method of logical analysis of data

An iterative procedure for selecting features for classifying observations is proposed. The main principles of the proposed iterative procedure are ranking and selection of features according to the frequency of their use when constructing logical patterns based on the method of logical analysis of...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-11, Vol.2094 (3), p.32054
Main Authors: Kuzmich, R I, Stupina, A A, Zhirnova, I S, Slinitsyna, O V, Boubriak, I I
Format: Article
Language:English
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Summary:An iterative procedure for selecting features for classifying observations is proposed. The main principles of the proposed iterative procedure are ranking and selection of features according to the frequency of their use when constructing logical patterns based on the method of logical analysis of data. The empirical confirmation of the expediency of this procedure is given.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2094/3/032054