Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/86372Registo completo
| Campo DC | Valor | Idioma |
|---|---|---|
| dc.contributor.author | Alves, Carlos Manuel Ferreira | por |
| dc.contributor.author | Chaves, António | por |
| dc.contributor.author | Rodrigues, Carla | por |
| dc.contributor.author | Ribeiro, Eduarda | por |
| dc.contributor.author | Silva, António José Linhares | por |
| dc.contributor.author | Durães, Dalila | por |
| dc.contributor.author | Machado, José Manuel | por |
| dc.contributor.author | Novais, Paulo | por |
| dc.date.accessioned | 2023-09-13T16:10:11Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.citation | Alves, C. et al. (2022). Survey for Big Data Platforms and Resources Management for Smart Cities. In: García Bringas, P., et al. Hybrid Artificial Intelligent Systems. HAIS 2022. Lecture Notes in Computer Science(), vol 13469. Springer, Cham. https://doi.org/10.1007/978-3-031-15471-3_34 | por |
| dc.identifier.isbn | 978-3-031-15470-6 | - |
| dc.identifier.issn | 0302-9743 | - |
| dc.identifier.uri | https://hdl.handle.net/1822/86372 | - |
| dc.description.abstract | Currently, smart cities are a hot topic and their tendency will be to optimize resources and promote efficient strategies for the preservation of the planet as well as to increase the quality of life of its inhabitants. In this sense, this research presents an initial component of investigation about Big Data Platforms for Smart Cities in order to be implemented in integrated and innovative solutions for development in urban centers. For this, a survey was carried out on “Big Data Platforms”, “Data Science Platforms”, “Security & Privacy” and “Resources Management”. The extraction of the results of this research was done through the SCOPUS repository in articles from the last 5 years to conclude what has been done so far and what will be the trends in the coming years, define proposals for possible solutions for smart cities and identify the right technologies for the design of a smart city architecture. | por |
| dc.description.sponsorship | This work has been supported by FCT—Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020 and the project “Integrated and Innovative Solutions for the well-being of people in complex urban centers” within the Project Scope NORTE-01-0145-FEDER-000086. | por |
| dc.language.iso | eng | por |
| dc.publisher | Springer, Cham | por |
| dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT | por |
| dc.rights | restrictedAccess | por |
| dc.subject | Big data platform | por |
| dc.subject | Data science | por |
| dc.subject | Internet of Things | por |
| dc.subject | Privacy | por |
| dc.subject | Security | por |
| dc.title | Survey for big data platforms and resources management for smart cities | por |
| dc.type | conferencePaper | por |
| dc.peerreviewed | yes | por |
| dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-031-15471-3_34 | por |
| oaire.citationStartPage | 393 | por |
| oaire.citationEndPage | 404 | por |
| oaire.citationVolume | 13469 LNAI | por |
| dc.date.updated | 2023-07-31T23:09:58Z | - |
| dc.identifier.doi | 10.1007/978-3-031-15471-3_34 | por |
| dc.date.embargo | 10000-01-01 | - |
| dc.identifier.eisbn | 978-3-031-15471-3 | - |
| dc.subject.wos | Science & Technology | - |
| sdum.export.identifier | 12654 | - |
| sdum.journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | por |
| sdum.conferencePublication | HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, HAIS 2022 | por |
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|---|---|---|---|---|
| HAIS32.pdf Acesso restrito! | 344,25 kB | Adobe PDF | Ver/Abrir |
