Zobrazeno 1 - 7
of 7
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b1c2b826a69780d909d8f580a310cc8
https://doi.org/10.1016/j.procs.2019.08.196
https://doi.org/10.1016/j.procs.2019.08.196
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b42d4e3ad36ff598d64a2587207978f
https://doi.org/10.1016/j.procs.2019.08.211
https://doi.org/10.1016/j.procs.2019.08.211
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15c5ae27b5e4a9746f2da9ab86fb51af
https://doi.org/10.1016/j.procs.2018.08.285
https://doi.org/10.1016/j.procs.2018.08.285
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e679f30cb889c1bb26ea8cad9a16a362
https://doi.org/10.1016/j.procs.2017.11.190
https://doi.org/10.1016/j.procs.2017.11.190
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
Autor:
Yong Shi, Haohuan Fu, Yingjie Tian, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack Dongarra, Peter M. A. Sloot
The three-volume set LNCS 10860, 10861 and 10862 constitutes the proceedings of the 18th International Conference on Computational Science, ICCS 2018, held in Wuxi, China, in June 2018. The total of 155 full and 66 short papers presented in this book