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Image of Data Science and Internet of Things

Electronic Resource

Data Science and Internet of Things

Fortino, Giancarlo - Personal Name; Liotta, Antonio - Personal Name; Gravina, Raffaele - Personal Name; Longheu, Alessandro - Personal Name;

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This book focuses on the combination of IoT and data science, in particular how methods, algorithms, and tools from data science can effectively support IoT. The authors show how data science methodologies, techniques and tools, can translate data into information, enabling the effectiveness and usefulness of new services offered by IoT stakeholders. The authors posit that if IoT is indeed the infrastructure of the future, data structure is the key that can lead to a significant improvement of human life. The book aims to present innovative IoT applications as well as ongoing research that exploit modern data science approaches. Readers are offered issues and challenges in a cross-disciplinary scenario that involves both IoT and data science fields. The book features contributions from academics, researchers, and professionals from both fields.


Availability
Inventory Code Barcode Call Number Location Status
1908001397EB0002003004.678 DatCentral Library (OPAC)Available
Detail Information
Series Title
Internet of Things
Call Number
004.678 Dat
Publisher
Switzerland : Springer Cham., 2021
Collation
xii, 182p.:Ill
Language
English
ISBN/ISSN
978-3-030-67197-6
Classification
004.678
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Internet of Things
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

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  • Data Science and Internet of Things
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