Zobrazeno 1 - 4
of 4
pro vyhledávání: '"No'aman Muhammad Ali"'
Publikováno v:
Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki. 31:116-131
The problem of finding relevant data while searching the internet represents a big challenge for web users due to the enormous amounts of available information on the web. These difficulties are related to the well-known problem of information overlo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7d5292d5ec4d15560ac42e7ca2d5a8b
https://doi.org/10.35634/vm210109
https://doi.org/10.35634/vm210109
Autor:
No'aman Muhammad Ali, Boris Novikov
Publikováno v:
Proceedings of the Institute for System Programming of the RAS. 32:181-204
The term Big Data refers to an extensive collections of digital data generating every second. Produced datasets come in structured, semi-structured, and unstructured formats throughout the world, which is difficult for the traditional database manage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa69f2a6afc8854b90f85be9a3d8e97c
https://doi.org/10.15514/ispras-2020-32(1)-10
https://doi.org/10.15514/ispras-2020-32(1)-10
Autor:
Boris Novikov, No'aman Muhammad Ali
Publikováno v:
2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).
Big Data refers to the highly growing digital data collections that involve data with different formats, including structured, semi-structured, and unstructured datasets. Analyzing these combinations requires capabilities beyond the traditional datab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::088a0b5ca070b285500866603b72372b
https://doi.org/10.1109/elconrus51938.2021.9396606
https://doi.org/10.1109/elconrus51938.2021.9396606
Publikováno v:
2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon).
Extracting useful and relevant information from the massive amount of data by web users becomes a challenging task. This work regarding applications based on the use of Web Usage Mining (WUM). Clickstream, transaction data, and user profile data repr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66f026555ecb57846313409d36c2fac2
https://doi.org/10.1109/fareastcon50210.2020.9271467
https://doi.org/10.1109/fareastcon50210.2020.9271467