Antonio Liotta

Giancarlo Fortino

Raffaele Gravina

Alessandro Longheu

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.

Research and Applications at the Intersection of DS and IoT

Data Science and Internet of Things

Chongfu Zhang

Nico de Rooij

Zichuan Yi

Guofu Zhou

Topic Editor Raffaele Gravina is a founder and a co-owner of company SenSysCal S.R.L. Topic Editor Guofu Zhou is a founder and a director of Electronic Paper Display Institute of South China Normal University and science advisor of Eindhoven University of Technology. All other Topic Editors declare no competing interests with regards to the Research Topic subject.

Modeling and Applications of Optoelectronic Devices for Access Networks

Raffaele Gravina

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