Zobrazeno 1 - 10
of 86
pro vyhledávání: '"KNOWLEDGE DISCOVERY PROCESS"'
Autor:
Dr. K. Kalaiselvi, J. Sowmiya
Publikováno v:
EAI Endorsed Transactions on Energy Web, Vol 5, Iss 18, Pp 1-7 (2018)
In recent years, knowledge mining has become one of the effective tools for data analysis and information management systems. Educational sector is the recent research endeavors that make use of data mining algorithms. Prior works carried in data min
Externí odkaz:
https://doaj.org/article/4f5387e82f4d4a6f92c8aac3fafea300
Autor:
Grace Etiowo Jackson, M. C. Okoronkwo
Data mining is described as a systematic process that is a step in the process of information discovery and is based on algorithms to produce patterns and data analysis applications. This paper discusses some of the data mining techniques and its app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0783d736ae886db1724202909a0995f0
Publikováno v:
VINE Journal of Information and Knowledge Management Systems, 2016, Vol. 46, Issue 2, pp. 207-231.
Autor:
Mümine Kaya Keleş
Publikováno v:
Tehnički Glasnik, Vol 11, Iss 3, Pp 128-132 (2017)
In recent years, it has become difficult to reach to the reliable information with increasing complicated, non-significant, unclear, large and raw data. The need for accurate analysis of reliable information from large data has also increased in dire
Externí odkaz:
https://doaj.org/article/f184e92cc79341b5863374f40155b4bc
Autor:
Lidia Contreras-Ochando, Meelis Kull, José Hernández-Orallo, Cèsar Ferri, María José Ramírez-Quintana, Nicolas Lachiche, Fernando Martínez-Plumed, Peter A. Flach
Publikováno v:
Martínez-Plumed, F, Contreras-Ochando, L, Ferri, C, Hernandez-Orallo, J, Kull, M, Lachiche, N J A H, Ramírez-Quintana, M J & Flach, P A 2019, ' CRISP-DM Twenty Years Later : From Data Mining Processes to Data Science Trajectories ', IEEE Transactions on Knowledge and Data Engineering . https://doi.org/10.1109/TKDE.2019.2962680
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering, 2021, 33 (8), ⟨10.1109/TKDE.2019.2962680⟩
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering, 2021, 33 (8), ⟨10.1109/TKDE.2019.2962680⟩
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
[EN] CRISP-DM (CRoss-Industry Standard Process for Data Mining) has its origins in the second half of the nineties and is thus about two decades old. According to many surveys and user polls it is still thede factostandard for developing data mining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8add3d861ae9eac3cc250c463be60a3
https://doi.org/10.1109/tkde.2019.2962680
https://doi.org/10.1109/tkde.2019.2962680
Akademický článek
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Akademický článek
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Publikováno v:
Telematics and Informatics, 35(4). Elsevier
We define the emerging research field of applied data science as the knowledge discovery process in which analytic systems are designed and evaluated to improve the daily practices of domain experts. We investigate adaptive analytic systems as a nove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46cc7686212b223e153d88a9d19bb529
https://doi.org/10.1016/j.tele.2018.04.002
https://doi.org/10.1016/j.tele.2018.04.002
Autor:
Michał Okoniewski
Publikováno v:
Journal of Telecommunications and Information Technology, Iss 3 (2003)
This paper describes the problem of planning cellular network base stations with optimization to traffic requirements. This research problem was a main incentive to add some development to the theory of association rules. The new form of quantitative
Externí odkaz:
https://doaj.org/article/9e9e61bb85664c009441cc3073228b15
Autor:
Brito, Maria Ana de
Dissertação de mestrado integrado em Engenharia Informática
Achieving great and undeniable success in a great variety of industries and businesses has made the term Big Data very popular among the scientific community. Big Data (BD) refers to
Achieving great and undeniable success in a great variety of industries and businesses has made the term Big Data very popular among the scientific community. Big Data (BD) refers to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______307::03c31d795a3d727a187a23817b133cfb
https://hdl.handle.net/1822/79966
https://hdl.handle.net/1822/79966