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1. |
Record Nr. |
UNINA9910701397303321 |
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Titolo |
Nuclear safety [[electronic resource] ] : agreement between the United States of America and Greece signed at Vienna, September 29, 2008 |
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Pubbl/distr/stampa |
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[Washington, D.C.] : , : U.S. Dept. of State, , [2011?] |
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Descrizione fisica |
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1 online resource (17 unnumbered pages) |
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Collana |
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Treaties and other international acts series ; ; 08-929 |
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Soggetti |
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Nuclear energy - Safety measures - Government policy - United States |
Nuclear energy - Safety measures - Government policy - Greece |
Communication of technical information - United States |
Communication of technical information - Greece |
Nuclear facilities - Safety measures - International cooperation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from title screen (viewed on Dec. 29, 2011). |
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2. |
Record Nr. |
UNINA9910349308103321 |
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Titolo |
Big Scientific Data Management : First International Conference, BigSDM 2018, Beijing, China, November 30 – December 1, 2018, Revised Selected Papers / / edited by Jianhui Li, Xiaofeng Meng, Ying Zhang, Wenjuan Cui, Zhihui Du |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (XIII, 332 p. 172 illus., 113 illus. in color.) |
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Collana |
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Information Systems and Applications, incl. Internet/Web, and HCI, , 2946-1642 ; ; 11473 |
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Disciplina |
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Soggetti |
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Big data |
Computer networks |
Computer engineering |
Artificial intelligence |
Electronic data processing - Management |
Data protection |
Big Data |
Computer Communication Networks |
Computer Engineering and Networks |
Artificial Intelligence |
IT Operations |
Data and Information Security |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Application cases in the big scientific data management -- Paradigms for enhancing scientific discovery through big data -- Data management challenges posed by big scientific data -- Machine learning methods to facilitate scientific discovery -- Science platforms and storage systems for large scale scientific applications -- Data cleansing and quality assurance of science data -- Data policies. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the First International Conference on Big Scientific Data Management, BigSDM 2018, held in Beijing, Greece, in November/December 2018. The 24 full papers presented together with 7 short papers were carefully reviewed and selected from 86 submissions. The topics involved application cases in the big scientific data management, paradigms for enhancing scientific discovery through big data, data management challenges posed by big scientific data, machine learning methods to facilitate scientific discovery, science platforms and storage systems for large scale scientific applications, data cleansing and quality assurance of science data, and data policies. |
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