Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/74157

TítuloData science and knowledge discovery
Autor(es)Portela, Filipe
Data7-Jul-2021
EditoraMultidisciplinary Digital Publishing Institute (MDPI)
RevistaFuture Internet
CitaçãoPortela, F. Data Science and Knowledge Discovery. Future Internet 2021, 13, 178. https://doi.org/10.3390/fi13070178
Resumo(s)Nowadays, Data Science (DS) is gaining a relevant impact on the community. The most recent developments in Computer Science, such as advances in Machine and Deep Learning, Big Data, Knowledge Discovery, and Data Analytics, have triggered the development of several innovative solutions (e.g., approaches, methods, models, or paradigms). It is a trending topic with many application possibilities and motivates the researcher to conduct experiments in these most diverse areas. This issue created an opportunity to expose some of the most relevant achievements in the Knowledge Discovery and Data Science field and contribute to such subjects as Health, Smart Homes, Social Humanities, Government, among others. The relevance of this field can be easily observed by its current achieved numbers: thirteen research articles, one technical note, and forty-six authors from fifteen nationalities.
TipoEditorial em revista
URIhttps://hdl.handle.net/1822/74157
DOI10.3390/fi13070178
e-ISSN1999-5903
Versão da editorahttps://www.mdpi.com/1999-5903/13/7/178
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:BUM - MDPI

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