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Automatic Documentation and Mathematical Linguistics

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01-06-2023 | INFORMATION ANALYSIS

Some Features of Intelligent Analysis of Empirical Data Collections Updated with New Information, but Limited in Size

Authors: M. I. Zabezhailo, A. V. Amentes

Published in: Automatic Documentation and Mathematical Linguistics | Issue 3/2023

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Abstract

This paper discusses certain possibilities and limitations of the use of mathematical models and methods of computer data analysis in the processing of collections of empirical data, which are open, replenished with new elements but limited in size. The characteristics of the statistical methods of data analysis, artificial neural networks, and methods based on interpolation-extrapolation techniques for identifying empirical cause-and-effect dependencies hidden in the analyzed data are considered.

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Title: Some Features of Intelligent Analysis of Empirical Data Collections Updated with New Information, but Limited in Size
Authors: M. I. Zabezhailo
A. V. Amentes
Publication date: 01-06-2023
Publisher: Pleiades Publishing
Published in: Automatic Documentation and Mathematical Linguistics / Issue 3/2023
Print ISSN: 0005-1055
Electronic ISSN: 1934-8371
DOI: https://doi.org/10.3103/S0005105523030093

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Some Features of Intelligent Analysis of Empirical Data Collections Updated with New Information, but Limited in Size

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