Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Zhazirakhanym Meirambekkyzy"'
Autor:
Aleksandr M. Krassovitsky, Irina M. Ualiyeva, Zhazirakhanym Meirambekkyzy, Rustam R. Mussabayev
Publikováno v:
Современные информационные технологии и IT-образование, Vol 14, Iss 3, Pp 567-572 (2018)
We consider generalization as a property of human thinking to make general conclusion based on authors’ own experience and observations and one of the techniques of authors use to manipulate the readership and present an algorithm for evaluation of
Externí odkaz:
https://doaj.org/article/d77dff7b933a4b6fb20ba7261d543b3d
Autor:
Kirill Yakunin, Maksat Kalimoldayev, Ravil I. Mukhamediev, Rustam Mussabayev, Vladimir Barakhnin, Yan Kuchin, Sanzhar Murzakhmetov, Timur Buldybayev, Ulzhan Ospanova, Marina Yelis, Akylbek Zhumabayev, Viktors Gopejenko, Zhazirakhanym Meirambekkyzy, Alibek Abdurazakov
Publikováno v:
Data, Vol 6, Iss 3, p 31 (2021)
Mass media is one of the most important elements influencing the information environment of society. The mass media is not only a source of information about what is happening but is often the authority that shapes the information agenda, the boundar
Externí odkaz:
https://doaj.org/article/9bfb9ab7606541429a4dc1fe8c7bb981
Autor:
Akylbek Zhumabayev, V. B. Barakhnin, Marina Yelis, Timur Buldybayev, Kirill Yakunin, Sanzhar Murzakhmetov, Zhazirakhanym Meirambekkyzy, Rustam Mussabayev, Ulzhan Ospanova, Ravil I. Mukhamediev, Viktors I. Gopejenko, Yan Kuchin, Alibek Abdurazakov, Maksat Kalimoldayev
Publikováno v:
Data, Vol 6, Iss 31, p 31 (2021)
Mass media is one of the most important elements influencing the information environment of society. The mass media is not only a source of information about what is happening but is often the authority that shapes the information agenda, the boundar
Autor:
Zhazirakhanym Meirambekkyzy, Irina Ualiyeva, Victor Zakharov, Alexander Krassovitskiy, Aleksander Khoroshilov, Alexey Khoroshilov
Publikováno v:
2019 International Conference on Engineering Technologies and Computer Science (EnT).
The article describes the methods of identifying the conceptual content structure of the dataset of documents for the clustering. It was found that in the automatic extraction of key text concepts it is necessary to use the criteria of semantic signi