Application of machine learning algorithms for the study of Galicia population’s social characteristics in the interwar period (1919-1939)

Humanities & Social Sciences
Proceedings of the 8th International Youth Science Forum "Litteris et Artibus", November 22–24, 2018, Lviv: Lviv Polytechnic National University, 2018, pp. 96–101

DOI: https://doi.org/10.23939/lea2018.01.096

Authors

First and Last Name Academic degree E-mail Affiliation
Taras Ustyianovych No ustyk5 [at] gmail.com Social Communication and Information Science Department, Lviv Polytechnic National University
Lviv, Ukraine
Nataliia Khymytsia Ph.D. nhymytsa [at] gmail.com Social Communication and Information Science Department, Lviv Polytechnic National University
Lviv, Ukraine

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First published on this website: 26.10.2018 - 17:51
Abstract

The machine learning algorithms application on the cliometric data of Galicia’s history in the interwar period (1919-1939) was tested. The most accurate algorithms were defined, the «Ukrainian» class was determined in the dataset.

Keywords
demographic processGaliciainterwar perioddatadata processingcliometricsmachine learninghistorical process.
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