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pro vyhledávání: '"Mustafin Nikolay"'
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 458-463 (2020)
Nowadays, the heterogeneous network and devices of IoT become more complex and encountered several challenges. The investigations of social networks show that social network analysis methods are useful for the evolution and development of communicati
Externí odkaz:
https://doaj.org/article/2d768aedfbbf443c8c6a16ae3fd912f5
Autor:
Ponomarev, Andrew, Mustafin, Nikolay
Publikováno v:
In Procedia Computer Science 2021 186:654-660
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 2, Pp 667-674 (2020)
In real life, extracting from real data through data mining is a complicated process. Meta-learning helps optimize algorithm parameters to improve the performance of data mining. And semantic meta mining helps build workflows based on knowledge model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1409ad53dc050aa3e112e5975743901e
Publikováno v:
FRUCT
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 458-463 (2020)
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 458-463 (2020)
Nowadays, the heterogeneous network and devices of IoT become more complex and encountered several challenges. The investigations of social networks show that social network analysis methods are useful for the evolution and development of communicati