Scalable data analytics using crowdsourced repositories and streams
The scalable analysis of crowdsourced data repositories and streams has quickly become a critical experimental asset in multiple fields. It enables the systematic aggregation of otherwise disperse data sources and their efficient processing using significant amounts of computational resources. Howev...
Autor principal: | |
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Outros Autores: | , , , |
Formato: | article |
Idioma: | eng |
Publicado em: |
2018
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Assuntos: | |
Texto completo: | http://hdl.handle.net/10400.22/11910 |
País: | Portugal |
Oai: | oai:recipp.ipp.pt:10400.22/11910 |