Zobrazeno 1 - 10
of 552
pro vyhledávání: '"Distributed Data Mining"'
Autor:
Hendra Kurniawan, Masahiro Mambo
Publikováno v:
IEEE Access, Vol 11, Pp 34718-34735 (2023)
Due to the widespread use of distributed data mining techniques in a variety of areas, the issue of protecting the privacy of sensitive data has received increasing attention in recent years. Privacy-preserving distributed data mining (PPDDM) focuses
Externí odkaz:
https://doaj.org/article/12464a3670ba420fbd3fdbca3655c8a1
Autor:
Jianzhou Wu, Yan Jin, Feifang Gan, Xiaoting Li, Ziyu Liu, Peng Lin, Zhengchao Huang, Hongzhi Ling
Publikováno v:
Metals, Vol 13, Iss 10, p 1651 (2023)
The lack of a direct and linear relation between inclusion removal from tundishes and the design of their turbulence inhibitors is a difficult challenge. In contrast to the traditional method of optimizing flow control devices based on the residence
Externí odkaz:
https://doaj.org/article/e48e631b167549eb95a056b5252fd8d9
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 10, Iss 1, Pp 1-12 (2021)
Abstract A wide range of data mining applications benefit from the low latency offered by edge computing. However, edge computing suffers from limited computing resources, which inhibits the applications of the computationally expensive data mining m
Externí odkaz:
https://doaj.org/article/afbf9d262b584136b3755e98f58f83d5
Akademický článek
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Autor:
David Martínez-Galicia, Alejandro Guerra-Hernández, Nicandro Cruz-Ramírez, Xavier Limón, Francisco Grimaldo
Publikováno v:
Mathematical and Computational Applications, Vol 25, Iss 3, p 39 (2020)
Windowing is a sub-sampling method, originally proposed to cope with large datasets when inducing decision trees with the ID3 and C4.5 algorithms. The method exhibits a strong negative correlation between the accuracy of the learned models and the nu
Externí odkaz:
https://doaj.org/article/6debc5ba54534b8280fea34c9e79a7e0
Autor:
Celia Alvarez-Romero, Alicia Martinez-Garcia, Jara Ternero Vega, Pablo Díaz-Jimènez, Carlos Jimènez-Juan, María Dolores Nieto-Martín, Esther Román Villarán, Tomi Kovacevic, Darijo Bokan, Sanja Hromis, Jelena Djekic Malbasa, Suzana Beslać, Bojan Zaric, Mert Gencturk, A Anil Sinaci, Manuel Ollero Baturone, Carlos Luis Parra Calderón
[Background] Owing to the nature of health data, their sharing and reuse for research are limited by legal, technical, and ethical implications. In this sense, to address that challenge and facilitate and promote the discovery of scientific knowledge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5a86191b44ce8236534b1925394f220
https://medinform.jmir.org/2022/6/e35307/PDF
https://medinform.jmir.org/2022/6/e35307/PDF
Autor:
Jonás Carmona-Pírez, Beatriz Poblador-Plou, Antonio Poncel-Falcó, Jessica Rochat, Celia Alvarez-Romero, Alicia Martínez-García, Carmen Angioletti, Marta Almada, Mert Gencturk, A. Anil Sinaci, Jara Eloisa Ternero-Vega, Christophe Gaudet-Blavignac, Christian Lovis, Rosa Liperoti, Elisio Costa, Carlos Luis Parra-Calderón, Aida Moreno-Juste, Antonio Gimeno-Miguel, Alexandra Prados-Torres
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
International Journal of Environmental Research and Public Health; Volume 19; Issue 4; Pages: 2040
International Journal of Environmental Research and Public Health
instname
International Journal of Environmental Research and Public Health; Volume 19; Issue 4; Pages: 2040
International Journal of Environmental Research and Public Health
This article belongs to the Special Issue Addressing the Growing Burden of Chronic Diseases and Multimorbidity: Characterization and Interventions
The current availability of electronic health records represents an excellent research opportunity
The current availability of electronic health records represents an excellent research opportunity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2a34fac66e9c6f6d905d2c0d06fd832
http://hdl.handle.net/10261/265633
http://hdl.handle.net/10261/265633
Publikováno v:
Eastern-European Journal of Enterprise Technologies; Vol. 4 No. 9(118) (2022): Information and controlling system; 48-58
Eastern-European Journal of Enterprise Technologies; Том 4 № 9(118) (2022): Інформаційно-керуючі системи; 48-58
Eastern-European Journal of Enterprise Technologies; Том 4 № 9(118) (2022): Інформаційно-керуючі системи; 48-58
Distributed Data Mining (DDM) is vital in various applications for processing large volumes of data. The datasets are saved in the local databases and operated by local communities, but it provides the solution locally and globally. However, the data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ba73914b86fbd21314c9b6f110385a7
http://journals.uran.ua/eejet/article/view/263692
http://journals.uran.ua/eejet/article/view/263692
Autor:
Chin-Yi Chen, Jih-Jeng Huang
Publikováno v:
Information, Vol 10, Iss 4, p 144 (2019)
Given the issues relating to big data and privacy-preserving challenges, distributed data mining (DDM) has received much attention recently. Here, we focus on the clustering problem of distributed environments. Several distributed clustering algorith
Externí odkaz:
https://doaj.org/article/c903d4dccb71479c91d7ef1327753d65