Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Data Provisioning"'
Publikováno v:
Complex Systems Informatics and Modeling Quarterly, Vol 0, Iss 15, Pp 72-89 (2018)
In recent years, Industry 4.0 emerges as a new trend, enabling the integration of data-intensive cyber physical systems, Internet of Things, and mobile applications, into production environments. Even though Industry 4.0 concentrates on automated eng
Externí odkaz:
https://doaj.org/article/078ed4dbb97241b5aca052a063919cbb
Publikováno v:
EAI Endorsed Transactions on Context-aware Systems and Applications, Vol 4, Iss 13, Pp 1-13 (2018)
Mobile devices have become major sources of context-aware data due to their ubiquity and sensing capabilities. However, deploying mobile devices as dynamic, unabridged context data provider either locally or remotely is challenging, due to their limi
Externí odkaz:
https://doaj.org/article/9122bc0855644beebcb905ecfbffd0ce
Publikováno v:
Complex Systems Informatics and Modeling Quarterly; No 15 (2018): Complex Systems Informatics and Modeling Quarterly; 72-89
Complex Systems Informatics and Modeling Quarterly, Vol 0, Iss 15, Pp 72-89 (2018)
Complex Systems Informatics and Modeling Quarterly, Vol 0, Iss 15, Pp 72-89 (2018)
In recent years, Industry 4.0 emerges as a new trend, enabling the integration of data-intensive cyber physical systems, Internet of Things, and mobile applications, into production environments. Even though Industry 4.0 concentrates on automated eng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af56f4d8674feeedfb78b89a28a32ad4
https://doi.org/10.7250/csimq.2018-15.04
https://doi.org/10.7250/csimq.2018-15.04
Publikováno v:
EAI Endorsed Transactions on Context-aware Systems and Applications, Vol 4, Iss 13, Pp 1-13 (2018)
Mobile devices have become major sources of context-aware data due to their ubiquity and sensing capabilities. However, deploying mobile devices as dynamic, unabridged context data provider either locally or remotely is challenging, due to their limi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b861874ad1661c50cac615ff5816acc
http://eudl.eu/doi/10.4108/eai.14-3-2018.154338
http://eudl.eu/doi/10.4108/eai.14-3-2018.154338
Conference
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Autor:
Alili, Hiba
Publikováno v:
Base de données [cs.DB]. Université Paris sciences et lettres; École Nationale des Sciences de l'Informatique (La Manouba, Tunisie), 2019. Français. ⟨NNT : 2019PSLED019⟩
In the Big Data era, companies are moving away from traditional data-warehouse solutions whereby expensive and timeconsumingETL (Extract, Transform, Load) processes are used, towards data lakes in order to manage their increasinglygrowing data. Yet t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4e6f454a21e2fb33d375acb1420d5258
https://tel.archives-ouvertes.fr/tel-03222090/document
https://tel.archives-ouvertes.fr/tel-03222090/document
Autor:
Thomas Roblitz
Publikováno v:
Computer Science, Vol 13, Iss 4, p 21 (2012)
Scientists demand easy-to-use, scalable and flexible infrastructures for sharing,managing and processing their data spread over multiple resources accessiblevia different technologies and interfaces. In our previous work, we developedthe conceptual f
Externí odkaz:
https://doaj.org/article/d3e8bedc3ceb4448997b4b7e9aaa7261
Publikováno v:
Business Information Systems, 20th International Conference, BIS 2017, Proceedings
Business Information Systems 20th International Conference (BIS 2017)
Business Information Systems 20th International Conference (BIS 2017), Jun 2017, Poznan, Poland. pp.3-15, ⟨10.1007/978-3-319-59336-4_1⟩
Business Information Systems ISBN: 9783319593357
BIS
Business Information Systems 20th International Conference (BIS 2017)
Business Information Systems 20th International Conference (BIS 2017), Jun 2017, Poznan, Poland. pp.3-15, ⟨10.1007/978-3-319-59336-4_1⟩
Business Information Systems ISBN: 9783319593357
BIS
In the Big Data era, companies are moving away from traditional data-warehouse solutions whereby expensive and time-consuming ETL (Extract-Transform-Load) processes are used, towards data lakes, which can be viewed as storage repositories holding a v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b71148e559537bb6ae1ad174f5853831
https://hal.archives-ouvertes.fr/hal-02103374
https://hal.archives-ouvertes.fr/hal-02103374
Akademický článek
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Autor:
Oscar Romero, Alberto Abelló
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
Universitat Jaume I
Business Intelligence ISBN: 9783319054605
eBISS
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Jaume I
Business Intelligence ISBN: 9783319054605
eBISS
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
The vision of an interconnected and open Web of data is, still, a chimera far from being accomplished. Fortunately, though, one can find several evidences in this direction and despite the technical challenges behind such approach recent advances hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1899cead519e292d646800d9b6ebe018
https://hdl.handle.net/2117/23622
https://hdl.handle.net/2117/23622