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Big Data and Internet of Things: A Roadmap for Smart Environments - Studies in Computational Intelligence 2014 edition
Nik Bessis
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Big Data and Internet of Things: A Roadmap for Smart Environments - Studies in Computational Intelligence 2014 edition
Nik Bessis
Big Data and Internet of Things: A Roadmap for Smart Environments
470 pages, 169 black & white illustrations, biography
| Media | Bøker Innbunden bok (Bok med hard rygg og stivt omslag) |
| Utgitt | 27. mars 2014 |
| ISBN13 | 9783319050287 |
| Utgivere | Springer International Publishing AG |
| Genre | Aspects (Academic) > Science / Technology Aspects |
| Antall sider | 470 |
| Mål | 141 × 222 × 20 mm · 861 g |
| Språk | Fransk |
| Redaktør | Bessis, Nik |
| Redaktør | Dobre, Ciprian |
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![Cover for Nik Bessis · Internet of Things and Inter-cooperative Computational Technologies for Collective Intelligence - Studies in Computational Intelligence (Innbunden bok) [2013 edition] (2012)](https://imusic.b-cdn.net/images/item/original/515/9783642349515.jpg?nik-bessis-2012-internet-of-things-and-inter-cooperative-computational-technologies-for-collective-intelligence-studies-in-computational-intelligence-innbunden-bok&class=scaled&v=1402864833)
![Cover for Nik Bessis · Next Generation Data Technologies for Collective Computational Intelligence - Studies in Computational Intelligence (Innbunden bok) [2011 edition] (2011)](https://imusic.b-cdn.net/images/item/original/435/9783642203435.jpg?nik-bessis-2011-next-generation-data-technologies-for-collective-computational-intelligence-studies-in-computational-intelligence-innbunden-bok&class=scaled&v=1610417516)
![Cover for Nik Bessis · Advanced Icts for Disaster Management and Threat Detection: Collaborative and Distributed Frameworks (Premier Reference Source) (Innbunden bok) [First edition] (2010)](https://imusic.b-cdn.net/images/item/original/873/9781615209873.jpg?nik-bessis-2010-advanced-icts-for-disaster-management-and-threat-detection-collaborative-and-distributed-frameworks-premier-reference-source-innbunden-bok&class=scaled&v=1412436466)
