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Data Science and Internet of Things

Research and Applications at the Intersection of DS and IoT

Raffaele Gravina (Hrsg.), Antonio Liotta (Hrsg.), Alessandro Longheu (Hrsg.), Giancarlo Fortino (Hrsg.)

PDF
ca. 149,79 €
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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik

Beschreibung

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. 

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Schlagwörter

Interoperability in IoT systems, Big data, machine learning, deep learning, Data-driven IoT Architectures, green economy, Industry 4.0, Innovative IoT applications, Algorithms, methods, tools for Data Science, Smart home, smart cities, smart health, Cloud, Edge, Fog Computing architectures, Wireless sensor networks, data structures