Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Alexandra A. Kaminskaya"'
Autor:
Vsevolod Alekseevich Ponomarev, Nina Nikolaevna Yakimenko, Lyudmila Vladimirovna Kletikova, Maria Sergeevna Mannova, Alexandra Andreevna Kaminskaya, Kristina Alexandrovna Voronova, Nadezhda Vladimirovna Vysotskaya
Publikováno v:
Аграрный вестник Верхневолжья. :48-53
Autor:
Lyudmila Vladimirovna Kletikova, Mariya S. Mannova, Alexandra A. Kaminskaya, Nina Nikolaevna Yakimenko
Publikováno v:
Bulletin of KSAU. :87-92
Autor:
Alexandra Yu. Kaminskaya, Natalia Konstantinova, Dmitry I. Ignatov, Jonas Poelmans, Alexander Malyukov
Publikováno v:
Graph-Based Representation and Reasoning ISBN: 9783319083889
ICCS
ICCS
This paper considers a recommender part of the data analysis system for the collaborative platform Witology. It was developed by the joint research team of the National Research University Higher School of Economics and the Witology company. This rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72c1146c6efa17cd92c25ec4216c861c
https://doi.org/10.1007/978-3-319-08389-6_24
https://doi.org/10.1007/978-3-319-08389-6_24
Autor:
Jonas Poelmans, Alexandra Yu. Kaminskaya, Anastasya A. Bezzubtseva, Dmitry I. Ignatov, Andrey V. Konstantinov
Publikováno v:
Conceptual Structures for STEM Research and Education ISBN: 9783642357855
ICCS
ICCS
This paper considers a data analysis system for collaborative platforms which was developed by the joint research team of the National Research University Higher School of Economics and the Witology company. Our focus is on describing the methodology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71c97784cfd54523453aadf3d2c31585
https://doi.org/10.1007/978-3-642-35786-2_13
https://doi.org/10.1007/978-3-642-35786-2_13
Publikováno v:
ITQM
The paperpresents a study on comparing different organisms, which requires their DNA sequences. If one considers a sample of DNA regions, an interesting result can be obtained. By using formal concept analysis a procedure that allows to determine the
Publikováno v:
Scopus-Elsevier
WI-IAT (2)
WI-IAT (2)
This paper discusses the recommender models and methods for crowd sourcing platforms. These models are based on modern methods of data analysis of object-attribute data, such as Formal Concept Analysis and biclustering. In particular, the paper is fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45bdde2aed04051378953e8c7fac362f
http://www.scopus.com/inward/record.url?eid=2-s2.0-84912528591&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84912528591&partnerID=MN8TOARS