Zobrazeno 1 - 6
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pro vyhledávání: '"Amir Uteuov"'
Autor:
Amir Uteuov
Publikováno v:
Procedia Computer Science. 156:204-213
This paper introduces the investigation of users interests by topic modeling. This work proposes a methodology for end-to-end unsupervised users topics investigation by textual data. Using additive regularization of topic models with large topic coun
Publikováno v:
Procedia Computer Science. 156:347-356
The problem of the weather forecasting still exists in urban agglomerations, in part because of local factors on a city scale. It is important to take into acount urban processes, to make a high-resolution weather forecast. In this study, we suggest
Autor:
Amir Uteuov, Anna V. Kalyuzhnaya
Publikováno v:
Procedia Computer Science. 136:293-303
Exploring customer interests from open source information has become a significant issue. On the one hand, consumers deepen their engagement with the brands which values matter to them. On the other hand, annoying marketing calls and polls do not ref
Publikováno v:
Procedia Computer Science. 119:315-324
We analyze the problem of data availability and how this situation (which is very common in practice) is a limiting factor for doing quality control and data restoration of MetOcean fields. In order to support our claim, we analyzed the case of data
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319937120
ICCS (3)
ICCS (3)
Every year the activity of users in various social networks is increasing. Different business entities can analyze in more detail the behavior of the audience and adapt their products and services to its needs. Social network data allow not only to f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a426a170e094eadd1415b5fc73cca29
https://doi.org/10.1007/978-3-319-93713-7_82
https://doi.org/10.1007/978-3-319-93713-7_82
Autor:
Alexander V. Boukhanovsky, Ivan Derevitskii, Klavdiya Bochenina, Alexander A. Kudryashov, Amir Uteuov, Anna V. Kalyuzhnaya, Nikolay O. Nikitin
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319937120
ICCS (3)
ICCS (3)
This paper is concerned with the question of potential quality of scoring models that can be achieved using not only application form data but also behavioral data extracted from the transactional datasets. The several model types and a different con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a88f69e7d5bfde8255c44979bd4cdf79
https://doi.org/10.1007/978-3-319-93713-7_81
https://doi.org/10.1007/978-3-319-93713-7_81