KFU. Card publication. Clustering of Social Network Data by Means of Kohonen Neural Networks

KAZAN
FEDERAL UNIVERSITY

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- 中文
- ES

CLUSTERING OF SOCIAL NETWORK DATA BY MEANS OF KOHONEN NEURAL NETWORKS

Form of presentation

Articles in international journals and collections

Year of publication

2020

Язык

русский

Authors, employees of KFU

Vakhitov Galim Zaribzyanovich, author

Bibliographic description in the original language

Galim Vakhitov, Zulfira Enikeeva, Pavel Ustin, Nagim Davletshin, Clustering of Social Network Data by Means of Kohonen Neural Networks / Proceedings of the International Workshop on Data Mining and Knowledge Engineering, Stavropol, Russia, October 15-16, 2020, p.128-135.

Annotation

Proceedings of the International Workshop on Data Mining and Knowledge Engineering

Keywords

social networks, academic performance, data clustering, the Kohonen neural network

The name of the journal

Proceedings of the International Workshop on Data Mining and Knowledge Engineering

URL

https://ceur-ws.org/Vol-2842/paper_15.pdf

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=273519&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Vakhitov Galim Zaribzyanovich	ru_RU
dc.date.accessioned	2020-01-01T00:00:00Z	ru_RU
dc.date.available	2020-01-01T00:00:00Z	ru_RU
dc.date.issued	2020	ru_RU
dc.identifier.citation	Galim Vakhitov, Zulfira Enikeeva, Pavel Ustin, Nagim Davletshin, Clustering of Social Network Data by Means of Kohonen Neural Networks / Proceedings of the International Workshop on Data Mining and Knowledge Engineering, Stavropol, Russia, October 15-16, 2020, p.128-135.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=273519&p_lang=2	ru_RU
dc.description.abstract	Proceedings of the International Workshop on Data Mining and Knowledge Engineering	ru_RU
dc.description.abstract	Social network user profile analysis is becoming an increasingly common source of information. In particular, the profile analysis can be used when hiring young employees. This information is poorly structured and it cannot be statistically analyzed in terms of what social network profile corresponds to a promising employee who has previously been a successful student. In this regard, we have carried out the clustering of these student profiles in the social network using the Kohonen neural network and revealed connections of the clusters with the data concerning the academic performance of students included in these clusters.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	social networks	ru_RU
dc.subject	academic performance	ru_RU
dc.subject	data clustering	ru_RU
dc.subject	the Kohonen neural network	ru_RU
dc.title	Clustering of Social Network Data by Means of Kohonen Neural Networks	ru_RU
dc.type	Articles in international journals and collections	ru_RU