Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
The Relationship between the Cattell Test and Users Social Network Subscriptions. / Ryazantsev, Grigorii E.; Oliseenko, Valerii D.; Abramov, Maksim V.
Proceedings of 2023 26th International Conference on Soft Computing and Measurements, SCM 2023. Institute of Electrical and Electronics Engineers Inc., 2023. стр. 29-31.Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
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TY - GEN
T1 - The Relationship between the Cattell Test and Users Social Network Subscriptions
AU - Ryazantsev, Grigorii E.
AU - Oliseenko, Valerii D.
AU - Abramov, Maksim V.
N1 - G. E. Ryazantsev, V. D. Oliseenko and M. V. Abramov, "The Relationship between the Cattell Test and Users Social Network Subscriptions," 2023 XXVI International Conference on Soft Computing and Measurements (SCM), Saint Petersburg, Russian Federation, 2023, pp. 29-31, doi: 10.1109/SCM58628.2023.10159052.
PY - 2023/5/24
Y1 - 2023/5/24
N2 - The work is devoted to the question of identifying the relationship between the results of the R. Cattell test (16-factor test) and user subscriptions in a social network. A vector approach with space reduction is used to represent user subscales, and some machine learning algorithms are used to test the relationship. The results of this study showed that factors A, B, C, F, G, N, O, Q1, Q3, Q4 of R. Cattell test. The results of this study showed that the relationship between subscales and R. Cattell test results is possible to predict better than random.
AB - The work is devoted to the question of identifying the relationship between the results of the R. Cattell test (16-factor test) and user subscriptions in a social network. A vector approach with space reduction is used to represent user subscales, and some machine learning algorithms are used to test the relationship. The results of this study showed that factors A, B, C, F, G, N, O, Q1, Q3, Q4 of R. Cattell test. The results of this study showed that the relationship between subscales and R. Cattell test results is possible to predict better than random.
KW - Cattell test
KW - dimensionality reduction
KW - machine learning
KW - multiclass classification
KW - social networks
UR - https://www.mendeley.com/catalogue/8a804755-992c-3068-9524-cd94beab435d/
UR - http://www.scopus.com/inward/record.url?scp=85165162385&partnerID=8YFLogxK
U2 - 10.1109/scm58628.2023.10159052
DO - 10.1109/scm58628.2023.10159052
M3 - Conference contribution
SN - 9798350322491
SP - 29
EP - 31
BT - Proceedings of 2023 26th International Conference on Soft Computing and Measurements, SCM 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 XXVI International Conference on Soft Computing and Measurements (SCM)
Y2 - 24 May 2023 through 26 May 2023
ER -
ID: 107732091