Zobrazeno 1 - 10
of 28
pro vyhledávání: '"meta-mining"'
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 465-471 (2021)
Aiming to the problem of data mining processes building, we present a hierarchical data mining process ontology. The ontology is constructed based on CRISP-DM framework. Four layers of data mining process are described to solve the complexity of proc
Externí odkaz:
https://doaj.org/article/5555028dbf6948ed918eb5a184b89678
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://doaj.org/article/ef110c285abc4f36b809359ca2c42eb5
Autor:
Man Tianxing, Mikhail Lushnov, Dmitry I. Ignatov, Yulia Alexandrovna Shichkina, Natalia Alexandrovna Zhukova, Alexander Ivanovich Vodyaho
Publikováno v:
PeerJ Computer Science, Vol 7, p e777 (2021)
Researchers working in various domains are focusing on extracting information from data sets by data mining techniques. However, data mining is a complicated task, including multiple complex processes, so that it is unfriendly to non-computer researc
Externí odkaz:
https://doaj.org/article/c1988b842db34c9b8cecbee30318f418
В последнее время в качестве модели телекоммуникационных сетей и для хранения данных об их состоянии используются графы знаний. Графы з
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6eb934964781f2aeb14bc3b31ade9cd2
Publikováno v:
Computational Science and Its Applications – ICCSA 2020
In the data mining domain, the diversity of algorithms and the clutter of data make the knowledge discovery process very unfriendly to many non-computer professional researchers. Meta-learning helps users to modify some aspects of this process to imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmc_________::17b74057c6fdf6c8274335decb509f56
http://europepmc.org/articles/PMC7975406
http://europepmc.org/articles/PMC7975406
Publikováno v:
FRUCT
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 465-471 (2021)
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 28, Iss 1, Pp 465-471 (2021)
Aiming to the problem of data mining processes building, we present a hierarchical data mining process ontology. The ontology is constructed based on CRISP-DM framework. Four layers of data mining process are described to solve the complexity of proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f0cde8ad3b2c24e45ddd6e1b5fa7832
https://doi.org/10.23919/fruct50888.2021.9347590
https://doi.org/10.23919/fruct50888.2021.9347590
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
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